kmeans to reduce correlation

Init 1/10 with method: k-means++
Inertia for init 1/10: 12542121.769302
Init 2/10 with method: k-means++
Inertia for init 2/10: 11740229.798550
Init 3/10 with method: k-means++
Inertia for init 3/10: 12157150.778708
Init 4/10 with method: k-means++
Inertia for init 4/10: 11899131.259979
Init 5/10 with method: k-means++
Inertia for init 5/10: 12038138.570107
Init 6/10 with method: k-means++
Inertia for init 6/10: 12327521.342839
Init 7/10 with method: k-means++
Inertia for init 7/10: 12361252.587329
Init 8/10 with method: k-means++
Inertia for init 8/10: 12644719.134577
Init 9/10 with method: k-means++
Inertia for init 9/10: 12794746.085108
Init 10/10 with method: k-means++
Inertia for init 10/10: 12793970.874149
Minibatch iteration 1/1000: mean batch inertia: 213657.404042, ewa inertia: 213657.404042
Minibatch iteration 2/1000: mean batch inertia: 218004.716296, ewa inertia: 218004.716296
Minibatch iteration 3/1000: mean batch inertia: 228879.938393, ewa inertia: 228879.938393
Minibatch iteration 4/1000: mean batch inertia: 233992.486953, ewa inertia: 233992.486953
Minibatch iteration 5/1000: mean batch inertia: 220473.475531, ewa inertia: 220473.475531
Minibatch iteration 6/1000: mean batch inertia: 198509.020382, ewa inertia: 198509.020382
Minibatch iteration 7/1000: mean batch inertia: 207093.985388, ewa inertia: 207093.985388
Minibatch iteration 8/1000: mean batch inertia: 197195.474417, ewa inertia: 197195.474417
Minibatch iteration 9/1000: mean batch inertia: 200806.059252, ewa inertia: 200806.059252
Minibatch iteration 10/1000: mean batch inertia: 222666.521049, ewa inertia: 222666.521049
Minibatch iteration 11/1000: mean batch inertia: 214609.176010, ewa inertia: 214609.176010
Minibatch iteration 12/1000: mean batch inertia: 213660.220273, ewa inertia: 213660.220273
Minibatch iteration 13/1000: mean batch inertia: 208136.454492, ewa inertia: 208136.454492
Minibatch iteration 14/1000: mean batch inertia: 197395.526083, ewa inertia: 197395.526083
Minibatch iteration 15/1000: mean batch inertia: 216699.009770, ewa inertia: 216699.009770
Minibatch iteration 16/1000: mean batch inertia: 228424.947527, ewa inertia: 228424.947527
Minibatch iteration 17/1000: mean batch inertia: 202329.283123, ewa inertia: 202329.283123
Minibatch iteration 18/1000: mean batch inertia: 221468.495273, ewa inertia: 221468.495273
Converged (lack of improvement in inertia) at iteration 18/1000
Computing label assignment and total inertia

KMeansSampler(batch_size=100, compute_labels=True, init='k-means++',
       init_size=None, max_iter=1000, max_no_improvement=10, n_clusters=10,
       n_init=10, random_state=None, reassignment_ratio=0.01, tol=0.0,
       verbose=True)

1

kmeans.plot_centers(n_rows=2)