config.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 905 points
 anchor point is :	-96.576	63.384	74.093	-99.356	-94.263	-6.366	59.359	-17.658	80.886	-30.311	-39.906	59.621	65.951	41.728	-81.335	6.354	-7.779	-91.549	-82.244	22.269
 dimension is :	11	2	4	0	13

Cluster 1 has 266 points
 anchor point is :	-78.750	24.741	83.212	-98.413	18.006	-17.405	-63.280	-83.343	71.737	-1.398	-23.942	1.486	20.862	-76.434	-60.625	58.998	96.307	9.687	21.671	-37.114
 dimension is :	11	13	10	9

Cluster 2 has 455 points
 anchor point is :	-81.704	-22.919	54.823	73.019	-3.647	-67.083	41.209	28.190	9.430	-84.411	16.834	44.288	-32.264	-58.055	-81.558	86.480	44.014	-49.178	-95.566	-74.322
 dimension is :	13	9	0	18

Cluster 3 has 1146 points
 anchor point is :	-95.453	21.567	63.384	0.110	43.968	53.743	-5.338	-34.748	68.822	-38.572	16.550	-21.088	-73.867	-70.373	-13.413	54.814	77.786	-19.517	67.589	-52.776
 dimension is :	13	18	7	12

Cluster 4 has 77 points
 anchor point is :	-91.833	94.565	-27.479	-8.875	85.058	91.839	-27.213	-37.407	-37.049	32.566	83.151	-3.916	78.164	87.472	-77.825	-43.580	17.255	88.876	-31.471	-67.037
 dimension is :	12	18	13	7	19	9	6	14