test5.in

来自「高效的k-means算法实现」· IN 代码 · 共 22 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 seed
gen_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
  init_prob_accept 0.50			# init. prob. of accept. for SA
  temp_run_length  10			# number of runs per temp change
  temp_reduc_fact  0.95			# temperature reduction factor

  seed 4				# use different seed
run_kmeans hybrid			# run with this algorithm