Description: Clustering and Projected Clustering with Adaptive Neighbors.
The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, USA, 2014
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File list (Check if you may need any files):
CAN code\CAN.m
........\funs\ClusteringMeasure.m
........\....\eig1.m
........\....\EProjSimplex_new.m
........\....\kmeans_ldj.m
........\....\L2_distance_1.m
........\....\selftuning.m
........\....\spheres_gen.m
........\....\threegaussian_dim_gen.m
........\....\three_ring_dim_gen.m
........\....\three_ring_gen.m
........\....\twogaussian_gen.m
........\....\twomoon_gen.m
........\PCAN.m
........\test_CAN_toy.m
........\test_PCAN_toy_threering.m
........\test_PCAN_toy_twogaussian.m
........\funs
CAN code
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