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

0.691037   0.801922   3
0.692434   0.800047   3
0.699722   0.803663   5
0.693908   0.809134   3
0.698388   0.800522   3
0.694431   0.800537   5
0.693484   0.809344   3
0.692394   0.808375   5
0.694290   0.809422   3
0.691556   0.801888   5
0.694537   0.808688   3
0.690505   0.802622   3
0.698392   0.806973   3
0.697133   0.805586   5
0.699801   0.801221   5
0.694902   0.806166   3
0.698972   0.805605   5
0.694543   0.805331   3
0.693462   0.803211   5
0.698058   0.806585   3
0.692449   0.806409   5
0.693357   0.802709   5
0.695541   0.807294   3
0.694411   0.803277   5
0.690086   0.801050   3
0.694513   0.800445   3
0.694049   0.804359   3
0.696434   0.808276   5
0.698991   0.805313   5
0.699706   0.803134   3
0.699777   0.808893   3
0.690768   0.803401   5
0.697173   0.809957   3
0.696799   0.806107   5
0.694972   0.800084   5
0.698639   0.808147   3
0.693480   0.809204   3
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
0.690743   0.798478   5
0.696463   0.798793   5
0.695056   0.793868   5
0.698427   0.798271   5
0.699504   0.796734   3
0.694697   0.799097   5
0.695060   0.790773   3
0.693174   0.794402   5
0.692045   0.794136   5
0.697268   0.795710   5
0.698234   0.792303   5
0.699085   0.799719   5
0.695203   0.795939   5
0.696846   0.793911   5
0.692101   0.798427   3
0.694159   0.799587   5
0.696279   0.793214   5
0.695049   0.795523   3
0.699279   0.798274   5
0.698721   0.794304   3
0.698143   0.790789   5
0.697779   0.798662   3
0.694116   0.793496   3
0.697517   0.799157   5
0.693113   0.796352   5
0.697183   0.798701   5
0.696712   0.796491   3
0.691458   0.796527   5
0.699587   0.791188   3
0.690018   0.790359   5
0.699989   0.793721   3
0.699588   0.798115   3
0.697925   0.791150   3
0.699672   0.791510   5
0.692666   0.798531   3
0.691401   0.795213   3
0.693910   0.796313   3
0.695814   0.792742   3
0.690303   0.799597   5
0.698462   0.793140   3
0.694644   0.793055   3
0.695081   0.793906   5
0.692645   0.794900   5
0.698543   0.796894   3
0.699361   0.795912   3
0.697979   0.790702   5
0.695802   0.793916   5
0.692962   0.791806   5
0.694748   0.797352   3
0.691965   0.792160   3
0.695752   0.797035   5
0.058764   0.834289   4
0.053332   0.834203   4
0.055689   0.835547   4
0.050431   0.834961   4
0.054462   0.838846   4
0.052577   0.839476   4
0.055476   0.835648   4
0.053425   0.839829   4
0.054755   0.832346   4
0.059959   0.836076   4
0.052507   0.838969   4
0.054328   0.830087   4
0.052888   0.837584   4
0.055736   0.836238   4
0.059161   0.839508   4
0.054495   0.835941   4
0.059715   0.837093   4
0.053510   0.831844   4
0.053810   0.834012   4
0.056162   0.838819   4
0.052893   0.839343   4
0.055075   0.832755   4
0.056591   0.835731   4
0.055280   0.839138   4
0.058054   0.836611   4
0.052512   0.837737   4
0.059737   0.837992   4
0.056724   0.839878   4
0.827414   0.893309   5
0.828270   0.895965   1
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0.823507   0.895894   3
0.826935   0.897899   1
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0.827865   0.893313   1
0.824214   0.899353   1
0.821743   0.890534   1
0.821166   0.893926   1
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0.829104   0.896009   1
0.826558   0.899683   3
0.822224   0.894953   5
0.827426   0.890317   1
0.821600   0.890700   1
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0.820835   0.892033   1
0.823373   0.897751   5
0.829022   0.892719   1
0.823263   0.893565   1
0.820587   0.898332   1
0.824382   0.895733   1
0.827430   0.891582   5
0.829446   0.895849   1
0.829592   0.896849   1
0.828115   0.893287   1
0.827029   0.899209   1
0.821047   0.895260   3
0.820682   0.898727   1
0.827238   0.899366   1
0.826066   0.898837   1
0.821999   0.897181   1
0.822479   0.892585   5
0.828968   0.897560   5
0.829865   0.890979   5
0.827932   0.898009   1
0.820394   0.892153   1
0.823739   0.899319   1
0.820016   0.898413   1
0.829588   0.891157   1
0.829992   0.894166   1
0.825221   0.891225   1
0.822421   0.894173   3
0.821710   0.896757   1
0.826664   0.895438   1
0.012737   0.399163   2
0.017137   0.395169   2
0.013434   0.392399   2
0.015473   0.392759   2
0.014220   0.393497   2
0.019723   0.393321   2
0.017322   0.393041   2
0.016078   0.395615   2
0.011152   0.396511   2
0.019391   0.397438   2
0.010917   0.390820   2
0.014521   0.390837   2
0.010382   0.398771   2
0.017934   0.392237   2
0.010912   0.393804   2
0.014932   0.390020   2
0.012599   0.397216   2
0.011121   0.394550   2
0.010176   0.392216   2
0.016632   0.398897   2
0.012358   0.394602   2
0.011507   0.393775   2
0.011729   0.391769   2
0.019059   0.390115   2
0.016684   0.391655   2
0.017796   0.395033   2
0.017352   0.399241   2
0.016509   0.392658   2
0.010503   0.391982   2
0.012010   0.391432   2
0.011029   0.395749   2
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0.013770   0.393732   2
0.018080   0.397451   2
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0.010240   0.392169   2
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0.010287   0.391622   2
0.010950   0.390553   2
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0.012620   0.391935   2
0.015202   0.391958   2
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0.010643   0.392470   2
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0.012056   0.399448   2
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0.018938   0.399343   2
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0.019170   0.390674   2
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0.010165   0.394065   2
0.058238   0.366270   2
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0.056694   0.360227   2
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0.055663   0.360113   2
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