conf.txt

一个投影聚类算法及其数据集生成源码。 参考文献： Eric K.K. Ng, A. Fu : Efficient algorithm for Projected Clustering,

Cluster 0 has 162 points
 anchor point is :	11.972	-55.626	57.485	-96.164	17.795	19.614	78.103	-62.407	93.869	24.744	-1.263	35.276	22.718	-3.015	39.473	-3.464	-52.983	-95.798	7.080	-17.948
 dimension is :	8	13	19	17	4	0	12

Cluster 1 has 429 points
 anchor point is :	-92.752	-56.545	7.385	38.481	90.436	-41.063	7.254	-67.583	-3.128	-85.205	-99.225	72.015	52.461	70.138	-51.103	-91.772	67.965	75.051	43.104	-36.558
 dimension is :	13	8	11	10	2

Cluster 2 has 507 points
 anchor point is :	-17.917	17.414	92.431	69.784	27.729	-80.697	-65.398	80.035	-85.778	29.597	77.035	-40.068	-36.772	-12.803	78.204	53.294	-62.627	-53.194	-30.201	87.759
 dimension is :	13	2	15	7	10

Cluster 3 has 156 points
 anchor point is :	50.801	25.596	66.872	-97.620	-50.172	-22.010	-44.218	-32.154	14.386	4.349	77.499	-32.218	-32.734	44.664	-65.856	-14.249	48.482	52.892	-4.410	-41.734
 dimension is :	13	2	10	14

Cluster 4 has 1594 points
 anchor point is :	64.757	-92.077	83.883	84.213	37.895	81.109	-77.688	-63.738	-58.300	-84.967	16.553	88.888	18.802	-92.441	-50.642	76.226	70.531	81.368	-99.127	59.304
 dimension is :	2	10	3	6