Spectral Clustering and Chinese Whispers Clustering in JAVA -- 2

Spectral clustering and chinese whispers clustering implementation in java netbeans. Use the set of data set provided to test. Reference for another algorithm (markov clustering) is available. Output should be something like this: The number of clusters are: 17 ************* Cluster Results ************ Cluster Number 1:{41,665443,} Cluster Number 2:{} Cluster Number 3:{72,25159,638427,1099819,1141874,1141875,} Cluster Number 4:{9212,1085810,663560,663931,272087,1070378,} Cluster Number 5:{19903,1034018,1098096,19129,329,670481,725755,1066988,1067001,1077380,} Cluster Number 6:{40404,670639,} Cluster Number 7:{1046810,666560,} Cluster Number 8:{1092770,442,5716,22088,74439,74496,1177,8988,13165,166153,811285,1143721,1143722,} Cluster Number 9:{1118135,1112725,664629,} Cluster Number 10:{91,9805,14691,27214,622231,1093042,1137626,1141838,1141861,} Cluster Number 11:{101,1139038,663723,} Cluster Number 12:{1141862,1141863,124,} Cluster Number 13:{664789,140,7390,43735,} Cluster Number 14:{184438,43815,} Cluster Number 15:{199922,1074231,} Cluster Number 16:{157,1107954,665990,1142276,170929,186114,186137,254021,20365,} Cluster Number 17:{168,691,728,22578,23404,82008,126609,189128,194129,231694,664221,676650,676711,676723,735374,1034020,1041372,1051978,1057704,1089175,1090105,1092601,1102143,1103628,}