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https://github.com/Doctorado-ML/Stree_datasets.git
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Commit Inicial
This commit is contained in:
2
data/tanveer/plant-shape/conxuntos.dat
Executable file
2
data/tanveer/plant-shape/conxuntos.dat
Executable file
@@ -0,0 +1,2 @@
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549 553 544 547 559 557 558 556 7 6 11 12 14 10 9 3 572 569 575 563 574 561 560 564 587 578 584 586 576 582 581 591 27 31 17 23 20 19 16 26 598 597 595 606 593 602 596 607 37 34 41 46 42 36 45 39 616 619 613 620 622 608 623 609 636 628 634 626 625 635 637 630 646 645 652 644 654 647 648 655 670 656 665 664 660 657 662 659 684 677 672 676 675 678 679 687 54 59 61 63 52 48 56 62 697 691 693 700 698 689 701 703 705 715 704 713 719 708 707 710 722 732 730 723 731 720 724 728 111 99 105 102 107 98 106 97 739 744 747 740 746 751 741 737 761 766 759 758 764 763 756 767 121 119 126 112 115 113 118 114 783 771 768 780 776 778 773 774 132 130 129 128 142 141 131 135 152 156 149 155 150 158 145 153 785 792 794 787 790 798 793 795 160 175 164 161 169 171 165 163 810 806 801 812 802 811 808 805 77 75 79 68 65 67 74 70 821 831 817 828 824 822 825 816 842 847 846 837 836 832 835 840 853 854 849 850 855 851 858 862 179 182 183 185 189 191 177 186 870 875 876 877 871 866 865 874 893 886 883 891 882 892 887 881 192 194 205 199 207 195 202 201 898 901 907 897 899 903 910 900 923 927 916 919 915 917 926 922 939 943 934 929 935 928 931 936 975 965 960 966 972 971 969 961 979 986 978 982 984 980 990 976 215 220 222 219 216 213 221 218 998 1000 994 1007 1002 1003 992 997 1015 1013 1017 1009 1020 1022 1010 1019 1039 1036 1027 1030 1028 1029 1024 1025 1052 1045 1053 1044 1050 1048 1040 1047 1060 1068 1069 1065 1057 1061 1070 1071 226 237 236 224 227 230 232 235 82 85 94 80 88 92 95 81 1087 1077 1081 1079 1084 1085 1074 1086 1102 1089 1092 1090 1098 1094 1097 1101 1133 1123 1129 1121 1131 1125 1127 1124 1145 1136 1137 1140 1142 1147 1144 1148 242 244 252 253 241 249 243 251 1176 1171 1168 1170 1169 1172 1178 1179 261 260 263 266 268 271 262 259 1163 1166 1156 1160 1167 1164 1165 1154 1109 1111 1115 1105 1117 1107 1116 1118 1196 1185 1198 1192 1189 1191 1188 1195 282 273 275 279 281 286 284 287 292 293 295 289 301 303 294 291 1200 1205 1202 1211 1215 1204 1203 1207 317 305 313 304 315 306 316 310 328 323 320 335 334 321 326 333 1227 1224 1226 1216 1222 1220 1231 1228 351 348 346 341 336 349 343 350 1244 1238 1242 1233 1247 1246 1232 1236 1249 1250 1257 1253 1254 1252 1262 1259 352 360 361 358 363 364 357 355 1268 1274 1273 1272 1267 1270 1279 1269 1290 1280 1294 1289 1293 1292 1287 1285 1307 1309 1300 1301 1311 1310 1304 1297 370 368 382 372 381 375 369 374 1324 1317 1326 1313 1318 1327 1316 1325 1343 1328 1335 1334 1337 1331 1341 1336 388 396 399 387 397 385 395 394 1348 1355 1358 1350 1354 1356 1359 1351 412 406 411 408 401 405 404 402 1369 1365 1371 1374 1375 1367 1372 1360 1380 1388 1377 1378 1383 1387 1381 1386 1395 1401 1396 1398 1400 1407 1397 1392 949 959 946 952 956 954 944 950 427 418 423 429 425 430 431 428 1419 1416 1418 1409 1412 1420 1413 1410 1431 1428 1436 1439 1435 1425 1427 1426 1445 1446 1448 1447 1454 1451 1443 1442 444 437 445 440 433 439 436 443 459 454 456 458 451 450 452 449 1460 1467 1461 1471 1464 1457 1469 1466 1476 1485 1486 1478 1472 1473 1487 1482 479 467 476 478 473 465 475 474 1501 1496 1498 1500 1503 1499 1495 1492 488 484 483 486 482 493 485 491 1517 1509 1515 1510 1508 1506 1512 1511 503 511 507 510 497 498 496 504 1527 1526 1534 1529 1531 1521 1522 1525 1545 1551 1543 1542 1548 1546 1540 1547 518 515 517 527 524 513 514 525 1555 1558 1556 1557 1552 1553 1566 1563 1573 1569 1568 1578 1580 1582 1579 1574 536 535 538 532 539 533 534 541 1594 1586 1598 1593 1589 1587 1592 1584
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555 546 554 545 550 551 552 548 1 13 5 15 8 0 2 4 565 567 571 573 568 566 570 562 580 579 583 577 589 588 590 585 21 29 22 24 30 25 18 28 599 594 603 600 592 604 605 601 44 33 32 38 40 35 43 47 615 611 612 618 610 621 614 617 632 624 633 631 638 639 629 627 642 653 649 641 651 650 640 643 667 658 669 663 661 666 668 671 673 681 680 685 682 683 686 674 58 50 51 55 49 60 57 53 699 695 696 692 688 694 690 702 718 706 716 709 717 714 711 712 729 726 734 725 721 735 727 733 96 104 103 110 100 109 108 101 750 745 749 743 748 736 742 738 760 755 754 757 753 762 752 765 116 125 122 120 117 124 123 127 782 781 772 770 775 769 779 777 140 139 143 134 133 138 137 136 147 159 144 157 148 151 146 154 791 786 799 797 796 789 784 788 172 173 166 170 174 167 162 168 804 809 815 813 814 807 803 800 72 76 73 66 78 71 69 64 823 827 830 819 818 820 826 829 841 838 844 843 833 834 839 845 860 863 848 856 852 857 861 859 190 187 176 188 184 180 181 178 868 864 869 867 872 879 873 878 885 880 884 895 889 888 894 890 196 198 197 200 206 204 203 193 908 896 905 909 902 911 906 904 925 914 913 918 924 912 921 920 940 942 930 933 937 938 932 941 970 974 962 973 968 967 964 963 981 991 989 988 985 977 987 983 214 223 211 217 210 212 209 208 1005 996 995 993 999 1006 1004 1001 1014 1018 1021 1012 1016 1023 1008 1011 1026 1034 1032 1033 1037 1038 1031 1035 1054 1042 1049 1046 1055 1041 1043 1051 1058 1062 1063 1067 1056 1066 1059 1064 233 231 234 238 239 225 229 228 91 84 90 86 83 89 93 87 1076 1073 1075 1082 1080 1072 1083 1078 1091 1096 1088 1095 1103 1100 1099 1093 1135 1126 1122 1128 1134 1130 1120 1132 1138 1150 1146 1139 1141 1149 1143 1151 245 255 246 250 240 254 247 248 1182 1181 1173 1174 1180 1175 1177 1183 256 257 269 267 258 264 265 270 1159 1161 1158 1162 1152 1155 1153 1157 1108 1104 1106 1113 1119 1114 1112 1110 1184 1199 1186 1190 1187 1197 1194 1193 280 278 277 272 274 276 283 285 296 298 302 300 297 299 288 290 1210 1212 1214 1209 1208 1201 1213 1206 309 319 308 307 311 312 318 314 330 324 332 327 329 331 322 325 1225 1219 1218 1217 1223 1230 1221 1229 339 342 345 347 344 340 337 338 1237 1239 1240 1234 1245 1241 1235 1243 1251 1256 1255 1248 1261 1258 1263 1260 356 359 362 353 366 367 354 365 1277 1266 1264 1276 1271 1275 1278 1265 1283 1282 1281 1295 1284 1288 1286 1291 1306 1302 1308 1305 1299 1296 1303 1298 377 371 373 380 378 379 383 376 1314 1321 1319 1322 1320 1312 1315 1323 1342 1330 1339 1333 1332 1329 1340 1338 390 386 392 393 384 391 389 398 1352 1357 1344 1346 1349 1345 1353 1347 403 400 413 407 414 415 410 409 1370 1361 1363 1368 1362 1373 1366 1364 1382 1385 1379 1390 1391 1384 1376 1389 1399 1405 1404 1406 1403 1394 1402 1393 945 957 951 953 948 958 955 947 424 417 420 422 416 426 419 421 1423 1421 1422 1414 1415 1408 1417 1411 1430 1434 1433 1429 1437 1438 1432 1424 1450 1444 1441 1455 1453 1452 1449 1440 442 441 434 447 446 432 435 438 453 455 448 462 463 460 461 457 1458 1468 1470 1456 1465 1459 1463 1462 1477 1479 1475 1480 1484 1481 1474 1483 472 477 468 464 470 469 471 466 1488 1494 1491 1490 1497 1502 1489 1493 492 487 480 494 481 495 489 490 1516 1514 1513 1504 1505 1519 1507 1518 499 502 505 500 508 501 506 509 1520 1528 1523 1524 1530 1535 1533 1532 1536 1550 1549 1541 1544 1538 1537 1539 521 522 523 520 516 526 519 512 1554 1559 1564 1567 1560 1565 1561 1562 1572 1577 1575 1576 1570 1571 1581 1583 542 529 540 528 530 537 531 543 1591 1588 1596 1590 1585 1597 1595 1599
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8
data/tanveer/plant-shape/conxuntos_kfold.dat
Executable file
8
data/tanveer/plant-shape/conxuntos_kfold.dat
Executable file
File diff suppressed because one or more lines are too long
1600
data/tanveer/plant-shape/data_Sha_64.txt
Executable file
1600
data/tanveer/plant-shape/data_Sha_64.txt
Executable file
File diff suppressed because it is too large
Load Diff
33
data/tanveer/plant-shape/le_datos.m
Executable file
33
data/tanveer/plant-shape/le_datos.m
Executable file
@@ -0,0 +1,33 @@
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printf('lendo problema %s ...\n', problema);
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n_entradas= 64; n_clases= 100; n_fich= 1; fich{1}= 'data_Sha_64.txt'; n_patrons(1)= 1600;
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n_max= max(n_patrons);
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x = zeros(n_fich, n_max, n_entradas); cl= zeros(n_fich, n_max);
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n_patrons_total = sum(n_patrons); n_iter=0;
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clase={'AcerCampestre', 'AcerCapillipes', 'AcerCircinatum', 'AcerMono', 'AcerOpalus', 'AcerPalmatum', 'AcerPictum', 'AcerPlatanoids', 'AcerRubrum', 'AcerRufinerve', 'AcerSaccharinum', 'AlnusCordata', 'AlnusMaximowiczii', 'AlnusRubra', 'AlnusSieboldiana', 'AlnusViridis', 'ArundinariaSimonii', 'BetulaAustrosinensis', 'BetulaPendula', 'CallicarpaBodinieri', 'CastaneaSativa', 'CeltisKoraiensis', 'CercisSiliquastrum', 'CornusChinensis', 'CornusControversa', 'CornusMacrophylla', 'CotinusCoggygria', 'CrataegusMonogyna', 'CytisusBattandieri', 'EucalyptusGlaucescens', 'EucalyptusNeglecta', 'EucalyptusUrnigera', 'FagusSylvatica', 'GinkgoBiloba', 'IlexAquifolium', 'IlexCornuta', 'LiquidambarStyraciflua', 'LiriodendronTulipifera', 'LithocarpusCleistocarpus', 'LithocarpusEdulis', 'MagnoliaHeptapeta', 'MagnoliaSalicifolia', 'MorusNigra', 'OleaEuropaea', 'Phildelphus', 'PopulusAdenopoda', 'PopulusGrandidentata', 'PopulusNigra', 'PrunusAvium', 'PrunusXShmittii', 'PterocaryaStenoptera', 'QuercusAfares', 'QuercusAgrifolia', 'QuercusAlnifolia', 'QuercusBrantii', 'QuercusCanariensis', 'QuercusCastaneifolia', 'QuercusCerris', 'QuercusChrysolepis', 'QuercusCoccifera', 'QuercusCoccinea', 'QuercusCrassifolia', 'QuercusCrassipes', 'QuercusDolicholepis', 'QuercusEllipsoidalis', 'QuercusGreggii', 'QuercusHartwissiana', 'QuercusIlex', 'QuercusImbricaria', 'QuercusInfectoriasub', 'QuercusKewensis', 'QuercusNigra', 'QuercusPalustris', 'QuercusPhellos', 'QuercusPhillyraeoides', 'QuercusPontica', 'QuercusPubescens', 'QuercusPyrenaica', 'QuercusRhysophylla', 'QuercusRubra', 'QuercusSemecarpifolia', 'QuercusShumardii', 'QuercusSuber', 'QuercusTexana', 'QuercusTrojana', 'QuercusVariabilis', 'QuercusVulcanica', 'QuercusxHispanica', 'QuercusxTurneri', 'RhododendronxRussellianum', 'SalixFragilis', 'SalixIntergra', 'SorbusAria', 'TiliaOliveri', 'TiliaPlatyphyllos', 'TiliaTomentosa', 'UlmusBergmanniana', 'ViburnumTinus', 'ViburnumxRhytidophylloides', 'ZelkovaSerrata'};
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for i_fich=1:n_fich
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f=fopen(fich{i_fich}, 'r');
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if -1==f
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error('erro en fopen abrindo %s\n', fich{i_fich});
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end
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for i=1:n_patrons(i_fich)
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fprintf(2,'%5.1f%%\r', 100*n_iter++/n_patrons_total);
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t=fscanf(f,'%s',1);
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for j=1:n_clases
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if strcmp(t,clase{j})
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cl(i_fich,i)=j-1; break
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end
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end
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% printf('cl= %i: ', cl(i_fich,i))
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for j = 1:n_entradas
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x(i_fich,i,j) = fscanf(f,'%g',1);
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% printf('%g ', x(i_fich,i,j))
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end
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% printf('\n')
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% if i==2 exit end
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end
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fclose(f);
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end
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1667
data/tanveer/plant-shape/plant-shape.arff
Executable file
1667
data/tanveer/plant-shape/plant-shape.arff
Executable file
File diff suppressed because it is too large
Load Diff
103
data/tanveer/plant-shape/plant-shape.cost
Executable file
103
data/tanveer/plant-shape/plant-shape.cost
Executable file
@@ -0,0 +1,103 @@
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% Rows Columns
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100 100
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% Matrix elements
|
||||
0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
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1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0
|
||||
1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0
|
||||
8
data/tanveer/plant-shape/plant-shape.txt
Executable file
8
data/tanveer/plant-shape/plant-shape.txt
Executable file
@@ -0,0 +1,8 @@
|
||||
n_entradas= 64
|
||||
n_clases= 100
|
||||
n_arquivos= 1
|
||||
fich1= plant-shape_R.dat
|
||||
n_patrons1= 1600
|
||||
n_patrons_entrena= 800
|
||||
n_patrons_valida= 800
|
||||
n_conxuntos= 1
|
||||
1601
data/tanveer/plant-shape/plant-shape_R.dat
Executable file
1601
data/tanveer/plant-shape/plant-shape_R.dat
Executable file
File diff suppressed because it is too large
Load Diff
62
data/tanveer/plant-shape/readme.txt
Executable file
62
data/tanveer/plant-shape/readme.txt
Executable file
@@ -0,0 +1,62 @@
|
||||
03/12/2012
|
||||
|
||||
1. One-hundred plant species leaves data set.
|
||||
|
||||
|
||||
2. Sources:
|
||||
(a) Original owners of colour Leaves Samples:
|
||||
|
||||
James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman.
|
||||
The colour images are not included in this submission.
|
||||
The Leaves were collected in the Royal Botanic Gardens, Kew, UK.
|
||||
email: james.cope@kingston.ac.uk
|
||||
|
||||
(b) This dataset consists of work carried out by James Cope, Charles Mallah, and James Orwell.
|
||||
Donor of database Charles Mallah: charles.mallah@kingston.ac.uk; James Cope: james.cope@kingston.ac.uk
|
||||
|
||||
(c) Date received 03/12/2012
|
||||
|
||||
3. Past Usage:
|
||||
|
||||
(a) This is a new data set, provisional paper:
|
||||
|
||||
Charles Mallah, James Cope, James Orwell. Plant Leaf Classification Using Probabilistic Integration of Shape, Texture and Margin Features. Signal Processing, Pattern Recognition and Applications, in press.
|
||||
|
||||
(b) Previous parts of the data set relate to feature extraction of leaves from:
|
||||
|
||||
J. Cope, P. Remagnino, S. Barman, and P. Wilkin.
|
||||
Plant texture classification using gabor cooccurrences.
|
||||
Advances in Visual Computing,
|
||||
pages 669<36>677, 2010.
|
||||
|
||||
T. Beghin, J. Cope, P. Remagnino, and S. Barman.
|
||||
Shape and texture based plant leaf classification. In
|
||||
Advanced Concepts for Intelligent Vision Systems,
|
||||
pages 345<34>353. Springer, 2010.
|
||||
|
||||
4. Relevant Information Paragraph:
|
||||
The data directory contains the binary images (masks) of the leaf samples. The colour images are not included.
|
||||
The data set features are organised as the following:
|
||||
'data_Sha_64.txt'
|
||||
'data_Tex_64.txt'
|
||||
'data_Mar_64.txt'
|
||||
|
||||
One file for each 64-element feature vectors. Each row begins with the class label.
|
||||
The remaining 64 elements is the feature vector.
|
||||
|
||||
5. Number of Instances
|
||||
|
||||
1600 samples each of three features (16 samples per leaf class).
|
||||
|
||||
6. Number of Attributes
|
||||
|
||||
Three 64 element feature vectors per sample.
|
||||
|
||||
7. Vectors
|
||||
There are three features: Shape, Margin and Texture. As discussed in the paper(s) above.
|
||||
For Each feature, a 64 element vector is given per sample of leaf.
|
||||
These vectors are taken as a contigous descriptors (for shape) or histograms (for texture and margin).
|
||||
|
||||
8. Missing Attribute Values: none
|
||||
|
||||
9. Class Distribution: 16 instances per class
|
||||
Reference in New Issue
Block a user