mydataset.txt

无监督聚类的VC源码。。数据挖掘中的一种经典聚类算法

0.753283   0.865550   3
0.754081   0.869661   5
0.751825   0.868690   3
0.752293   0.868138   5
0.757490   0.863228   5
0.751184   0.868403   5
0.756190   0.866325   1
0.757678   0.866796   3
0.757534   0.864182   3
0.755647   0.864580   5
0.750226   0.860014   3
0.758990   0.865606   5
0.751415   0.863961   3
0.758679   0.863049   3
0.753859   0.868396   5
0.751706   0.860538   5
0.756457   0.869350   5
0.757148   0.864721   1
0.751949   0.866353   1
0.750860   0.866481   3
0.759016   0.866067   1
0.752795   0.868976   3
0.753656   0.868140   3
0.759699   0.869319   5
0.751937   0.867458   5
0.752139   0.865237   1
0.759278   0.862638   5
0.754460   0.866675   3
0.758502   0.869928   5
0.755908   0.860750   3
0.752930   0.867249   3
0.759171   0.861644   3
0.759918   0.866831   5
0.755487   0.869738   5
0.751508   0.866746   3
0.754126   0.863499   1
0.755810   0.869118   5
0.752348   0.860433   3
0.754253   0.861065   5
0.752321   0.868867   5
0.750382   0.865573   3
0.759046   0.860098   3
0.759529   0.866649   5
0.752009   0.869673   5
0.756175   0.862176   3
0.754902   0.869073   5
0.751200   0.869665   5
0.753512   0.867468   3
0.757165   0.861498   3
0.751000   0.861140   3
0.759271   0.864263   5
0.754241   0.861142   3
0.758232   0.863349   3
0.756591   0.869956   5
0.753598   0.867623   3
0.754030   0.867055   3
0.750202   0.862130   3
0.753202   0.868373   3
0.754741   0.865420   3
0.750703   0.862707   3
0.756012   0.861901   1
0.757942   0.867004   5
0.752550   0.860565   1
0.753766   0.869861   3
0.758745   0.863179   3
0.751382   0.861981   5
0.758009   0.867145   3
0.754877   0.860413   3
0.772200   0.892119   1
0.778058   0.890839   5
0.776471   0.893452   5
0.775143   0.898798   1
0.770471   0.893679   1
0.779090   0.890771   5
0.776101   0.896525   5
0.777323   0.895951   1
0.779072   0.890511   5
0.779451   0.891537   1
0.777489   0.898887   1
0.777648   0.898041   1
0.776676   0.899098   3
0.770017   0.892659   1
0.776920   0.892327   5
0.771446   0.897792   3
0.778021   0.891604   1
0.776878   0.893249   3
0.772619   0.896230   3
0.771663   0.890641   3
0.778921   0.897115   5
0.774761   0.895313   3
0.774331   0.892990   5
0.777172   0.898649   1
0.772075   0.896487   3
0.772065   0.895221   1
0.777038   0.890208   5
0.773288   0.895580   5
0.775555   0.895355   5
0.779800   0.891299   3
0.778450   0.892220   3
0.771548   0.891064   3
0.777671   0.899016   3
0.779940   0.893553   1
0.778343   0.891885   1
0.771832   0.890671   1
0.773806   0.890701   1
0.772699   0.897034   1
0.779073   0.890228   3
0.770036   0.892016   1
0.776951   0.895332   1
0.772402   0.897606   1
0.772544   0.899911   1
0.778241   0.890036   5
0.778643   0.896975   1
0.775443   0.897707   1
0.775721   0.893893   5
0.775054   0.894731   1
0.771421   0.890375   1
0.773975   0.891758   3
0.778322   0.898962   3
0.770063   0.856111   3
0.774625   0.853176   3
0.775087   0.852422   5
0.771439   0.857502   5
0.771171   0.854194   1
0.771373   0.853466   5
0.777079   0.857442   5
0.776359   0.854400   1
0.776181   0.853141   3
0.776753   0.850695   1
0.770258   0.859699   1
0.779059   0.850472   3
0.771271   0.850307   1
0.777200   0.853874   5
0.771554   0.857978   5
0.774677   0.858486   5
0.777223   0.855328   1
0.779644   0.853211   1
0.777198   0.850429   3
0.776919   0.853728   5
0.778145   0.856915   3
0.779789   0.856355   5
0.770927   0.854445   3
0.772582   0.850936   3
0.771493   0.852715   5
0.775703   0.854272   1
0.774348   0.859792   3
0.770064   0.850898   3
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0.772061   0.855434   5
0.779267   0.853288   5
0.770896   0.850068   3
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0.779689   0.855826   5
0.775187   0.858734   5
0.779766   0.852134   1
0.771379   0.854519   3
0.775318   0.857964   3
0.777226   0.855170   3
0.770126   0.854446   1
0.779321   0.859891   5
0.771418   0.856396   3
0.772971   0.857874   1
0.778390   0.859458   3
0.778318   0.853433   1
0.771499   0.850705   5
0.772355   0.852265   1
0.777214   0.851605   1
0.774327   0.855654   3
0.778769   0.857839   1
0.772715   0.859116   1
0.770004   0.851890   1
0.770835   0.858515   5
0.771044   0.853356   3
0.777729   0.856592   3
0.778798   0.859494   5
0.770587   0.850195   3
0.778975   0.859006   5
0.779119   0.857285   5
0.771537   0.850979   3
0.770617   0.858911   1
0.777680   0.859313   5
0.771298   0.851101   5
0.779136   0.850401   1
0.773174   0.855218   5
0.773732   0.854571   5
0.777723   0.857151   3
0.770368   0.856696   3
0.776358   0.858629   3
0.771794   0.855017   5
0.772374   0.854060   5
0.779650   0.856622   1
0.778359   0.853012   1
0.773024   0.850593   1
0.779240   0.855787   3
0.778579   0.853337   3
0.774308   0.850980   1
0.772290   0.857689   5
0.770017   0.853766   5
0.774729   0.850284   5
0.773332   0.853530   5
0.775969   0.850700   3
0.776950   0.859118   3
0.779235   0.852944   5
0.777684   0.858260   5
0.772392   0.851688   1
0.777595   0.854524   1
0.770042   0.857473   3
0.772650   0.858274   5
0.779902   0.854581   3
0.778726   0.858920   3
0.775678   0.850502   3
0.776408   0.852108   5
0.778876   0.850829   3
0.827753   0.901694   1
0.824382   0.908150   1
0.828108   0.905361   1
0.823649   0.903332   1
0.821167   0.903561   1
0.824812   0.909394   1
0.820458   0.903931   1
0.827180   0.902027   1
0.821903   0.908135   3
0.827385   0.904298   1
0.821182   0.905046   3
0.828098   0.909874   1
0.829795   0.900380   1
0.820703   0.904567   1
0.827123   0.901196   1
0.822959   0.902533   1
0.824987   0.902270   1
0.820149   0.906272   1
0.820457   0.905478   1
0.823622   0.900438   1
0.821883   0.900102   1
0.822518   0.902195   1
0.823414   0.909751   1
0.826180   0.900594   1
0.824649   0.909959   1
0.823786   0.909772   1
0.820847   0.909361   1
0.829767   0.901766   1
0.822494   0.905380   1
0.822677   0.908674   1
0.828677   0.905327   1
0.826730   0.900652   5
0.827529   0.902683   1
0.825509   0.905030   5
0.821656   0.904891   1
0.826938   0.901089   1
0.828703   0.905908   1
0.825508   0.902113   5
0.823898   0.904203   5
0.827011   0.906536   1
0.820556   0.907785   1
0.824715   0.903238   1
0.828114   0.904138   1
0.822040   0.907993   1
0.825173   0.907562   1
0.829521   0.907892   1
0.821809   0.909988   1
0.820352   0.907253   1
0.829169   0.905318   1
0.822757   0.906548   5
0.824193   0.904969   1
0.699079   0.792931   5
0.695991   0.793559   3
0.695334   0.790380   3
0.694184   0.792239   3
0.699837   0.799508   3
0.696506   0.794258   5
0.694832   0.798516   3
0.692594   0.798450   3
0.695754   0.795027   5
0.691538   0.796236   3
0.693885   0.798224   5
0.690662   0.794121   5
0.690138   0.790708   5
0.693722   0.797932   5
0.695317   0.791514   3
0.695630   0.793071   5
0.697689   0.792599   3
0.693477   0.795669   3
0.693582   0.798048   5
0.694510   0.795371   1
0.694284   0.792027   3
0.695335   0.793170   3
0.699382   0.798860   3
0.697167   0.796928   5
0.694882   0.793349   3
0.697987   0.795048   5
0.699912   0.793788   5
0.698109   0.798930   5
0.691933   0.790005   3
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0.699504   0.796734   3
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0.045889   0.405555   2
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