test7.in
来自「高效的k-means算法实现」· IN 代码 · 共 19 行
IN
19 行
stats stage # statistics output level show_assignments yes # show final cluster assignments validate yes # validate assignments dim 2 # dimension data_size 10000 # number of data points colors 20 # ...number of clusters std_dev 0.01 # ...each with this std deviation distribution clus_gauss # clustered gaussian distribution seed 1 # random number seedgen_data_pts # generate the data points kcenters 20 # number of centers max_tot_stage 1000 0 0 0 # number of stages min_consec_rdl 0.10 # minimum improvement for Lloyd's seed 4 # use different seedrun_kmeans EZ-hybrid # run with this algorithm
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