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📄 segment_test.arff

📁 Java语言实现的支持向量机的源码。对研究人工智能的朋友有用。
💻 ARFF
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@relation segment_test
@attribute region-centroid-col numeric
@attribute region-centroid-row numeric
@attribute short-line-density-5 numeric
@attribute short-line-density-2 numeric
@attribute vedge-mean numeric
@attribute vegde-sd numeric
@attribute hedge-mean numeric
@attribute hedge-sd numeric
@attribute intensity-mean numeric
@attribute rawred-mean numeric
@attribute rawblue-mean numeric
@attribute rawgreen-mean numeric
@attribute exred-mean numeric
@attribute exblue-mean numeric
@attribute exgreen-mean numeric
@attribute value-mean numeric
@attribute saturation-mean numeric
@attribute hue-mean numeric
@attribute class {brickface,sky,foliage,cement,window,path,grass}
@data
0.015873,0.331933,0,0,0.052287,0.000493,0.07943,0.001229,0.133211,0.139439,0.158636,0.099187,0.882704,0.295844,0.295012,0.158636,0.42886,0.191864,brickface
0.150794,0.197479,0.333333,0,0.061002,0.00115,0.089613,0.001867,0.161171,0.158415,0.200148,0.121138,0.809145,0.371638,0.240782,0.200148,0.446636,0.162169,brickface
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0.134921,0.348739,0.333333,0,0.082789,0.001016,0.103869,0.003709,0.154841,0.15429,0.185322,0.121951,0.827038,0.327629,0.29935,0.185322,0.399499,0.168154,brickface
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0.52381,0.348739,0.333333,0,0.039216,0.001031,0.101833,0.003235,0.155896,0.164191,0.182357,0.118699,0.890656,0.308068,0.264643,0.182357,0.406451,0.195111,brickface
0.142857,0.42437,1,0,0.054466,0.002035,0.142566,0.00362,0.122659,0.141089,0.134173,0.09187,0.974155,0.223717,0.323211,0.137139,0.393691,0.260373,brickface
0.575397,0.533613,0,0,0.041395,0.000467,0.03666,0.000556,0.045107,0.058581,0.048925,0.027642,0.962227,0.16137,0.446855,0.054855,0.537017,0.309664,brickface
0.412698,0.407563,0,0,0.019608,0.000123,0.071283,0.002284,0.030071,0.032178,0.042253,0.014634,0.884692,0.198044,0.466378,0.042253,0.708333,0.193439,brickface
0.313492,0.344538,0,0,0.04793,0.001016,0.034623,0.000531,0.152467,0.158415,0.17791,0.118699,0.874751,0.301957,0.292841,0.17791,0.390436,0.188356,brickface
0.607143,0.44958,0,0,0.017429,0.00003,0.016293,0.000114,0.042469,0.057756,0.045219,0.02439,0.976143,0.155257,0.442516,0.05189,0.569444,0.326046,brickface
0.015873,0.369748,0,0,0.091503,0.00233,0.065173,0.000584,0.120549,0.136138,0.132691,0.09187,0.954274,0.226162,0.340565,0.134915,0.376852,0.254022,brickface
0.027778,0.37395,0,0,0.074074,0.001867,0.071283,0.003139,0.127671,0.137789,0.146034,0.09756,0.912525,0.259169,0.327549,0.146034,0.390329,0.210531,brickface
0.099206,0.336134,0,0,0.098039,0.000213,0.077393,0.008793,0.145081,0.140264,0.178651,0.113008,0.799205,0.339853,0.308026,0.178651,0.419233,0.158312,brickface
0.40873,0.457983,0,0,0.017429,0.00003,0.01833,0.00016,0.045635,0.060231,0.048184,0.028455,0.970179,0.155257,0.449024,0.054114,0.520062,0.323886,brickface
0.47619,0.197479,0,0,0.089325,0.002349,0.105906,0.002765,0.190451,0.183168,0.234989,0.14878,0.767396,0.408313,0.221259,0.234989,0.4223,0.149869,brickface
0.698413,0.47479,0,0,0.017429,0.00012,0.022403,0.000403,0.038512,0.056931,0.037806,0.021138,1,0.13692,0.449024,0.051149,0.623016,0.3643,brickface
0.325397,0.42437,0,0,0.054466,0.001139,0.071283,0.000574,0.141388,0.148514,0.164566,0.108943,0.88668,0.287286,0.305857,0.164566,0.394964,0.199172,brickface
0.253968,0.260504,0,0,0.023965,0.000332,0.026477,0.000189,0.151939,0.156765,0.180875,0.115447,0.866799,0.319071,0.271149,0.180875,0.417046,0.184148,brickface
0.301587,0.466387,0,0,0.019608,0.000123,0.022403,0.000061,0.036402,0.051155,0.037806,0.020325,0.974155,0.1467,0.45987,0.04596,0.595899,0.338532,brickface
0.47619,0.420168,0,0,0.067538,0.001542,0.107943,0.001471,0.14429,0.148514,0.169755,0.112195,0.864811,0.299512,0.308026,0.169755,0.396589,0.184987,brickface
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0.055556,0.462185,0,0,0.017429,0.00012,0.016293,0.000114,0.032445,0.044554,0.035582,0.017073,0.956262,0.154035,0.466378,0.04003,0.61164,0.319936,brickface
0.896825,0.441176,0,0,0.002179,0.000019,0.038697,0.000103,0.040095,0.05198,0.044477,0.023577,0.952286,0.162592,0.455532,0.047443,0.545635,0.30016,brickface
0.900794,0.029412,0,0,0.041394,0.000495,0.03055,0.000724,0.890269,0.846533,0.937734,0.881295,0.28827,0.64181,0.329718,0.937734,0.188892,0.044445,sky
0.452381,0.285714,0,0,0.028323,0.000652,0.026477,0.000375,0.754421,0.682342,0.83321,0.739023,0.125249,0.754279,0.308026,0.83321,0.26422,0.038131,sky
0.619048,0.184874,0,0,0.04793,0.000478,0.044806,0.000798,0.888161,0.848181,0.931803,0.879671,0.316104,0.62225,0.334058,0.931803,0.182073,0.045886,sky
0.996032,0.243697,0,0,0.028322,0.000332,0.04888,0.000684,0.634927,0.540428,0.770944,0.57886,0,1,0.008678,0.770944,0.370097,0.062608,sky
0.968254,0.042017,0,0,0.026144,0.000368,0.04277,0.001178,0.876025,0.824255,0.932543,0.865037,0.234592,0.682152,0.316704,0.932543,0.205901,0.042924,sky
0.543651,0.151261,0,0,0.041395,0.000937,0.065173,0.001027,0.88341,0.839931,0.936987,0.867481,0.292246,0.669927,0.275489,0.936987,0.194622,0.052666,sky
0.365079,0.138655,0,0,0.082789,0.001643,0.065173,0.001739,0.897655,0.861384,0.940696,0.886176,0.33996,0.62225,0.308026,0.940696,0.177195,0.052476,sky
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0.765873,0.247899,0,0,0.039216,0.000403,0.04277,0.001101,0.665525,0.588282,0.781318,0.614633,0.115307,0.909536,0.043385,0.781318,0.323421,0.066977,sky
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0.968254,0.021008,0,0,0.039216,0.001031,0.04277,0.000203,0.982066,0.976067,0.986657,0.982922,0.532804,0.458436,0.388286,0.986657,0.111218,0.057883,sky
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0.329365,0.218487,0,0,0.028322,0.000377,0.07332,0.000684,0.895019,0.856431,0.945146,0.878047,0.324056,0.65648,0.264643,0.945146,0.185658,0.058136,sky
0.309524,0.205882,0,0,0.021787,0.000388,0.032586,0.000584,0.784754,0.747525,0.848034,0.752032,0.367792,0.687042,0.162691,0.848034,0.208013,0.075757,sky
0.924603,0.058824,0.333333,0,0.03268,0.000629,0.075357,0.001305,0.873653,0.828384,0.925131,0.861788,0.282307,0.65648,0.310195,0.925131,0.195416,0.046933,sky
0.563492,0.029412,0,0,0.043573,0.000757,0.046843,0.000894,0.906885,0.867161,0.951818,0.896749,0.312126,0.634475,0.316704,0.951818,0.181475,0.048332,sky

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