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Table 3:
Experimental Results on Real Benchmark Data Sets.
Purity
Algorithm20newsUmistOrlyalebCoil20JaffeDig0689
K-means 0.2625 0.4957 0.6725 0.1326 0.6799 0.8685 0.7532 
RCut 0.2565 0.7625 0.7900 0.4718 0.8118 0.8873 0.7942 
NCut 0.2565 0.7704 0.7625 0.4581 0.8118 0.8873 0.7940 
NMF 0.2597 0.4765 0.7650 0.4925 0.8160 0.6901 0.7770 
CLR_L1 0.2647 0.8004 0.7822  0.8124 0.9013 0.8740 
CLR_L2 0.2747 0.8065 0.7853 0.4915 0.8143 0.8991 0.8790 
WAL-R  0.7339 0.5551 0.3587 0.7777 0.8544 0.7335 
WAL-Ln 0.2680 0.8000  0.4850 0.8000 0.8873 0.8875 
WAL-L2 0.2677  0.5550 0.4933    
Purity
Algorithm20newsUmistOrlyalebCoil20JaffeDig0689
K-means 0.2625 0.4957 0.6725 0.1326 0.6799 0.8685 0.7532 
RCut 0.2565 0.7625 0.7900 0.4718 0.8118 0.8873 0.7942 
NCut 0.2565 0.7704 0.7625 0.4581 0.8118 0.8873 0.7940 
NMF 0.2597 0.4765 0.7650 0.4925 0.8160 0.6901 0.7770 
CLR_L1 0.2647 0.8004 0.7822  0.8124 0.9013 0.8740 
CLR_L2 0.2747 0.8065 0.7853 0.4915 0.8143 0.8991 0.8790 
WAL-R  0.7339 0.5551 0.3587 0.7777 0.8544 0.7335 
WAL-Ln 0.2680 0.8000  0.4850 0.8000 0.8873 0.8875 
WAL-L2 0.2677  0.5550 0.4933    

Note: The best performances are in bold.

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