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| # http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means | |
| cents = [km.kmeans.cluster_centers_ for km in kms] | |
| D_k = [cdist(rid_brand_pca, cent, 'euclidean') for cent in cents] | |
| # 最も近い中心との距離 | |
| dist = [np.min(D,axis=1) for D in D_k] | |
| avgWithinSS = [sum(d)/rid_brand_pca.shape[0] for d in dist] | |
| # elbow curve | |
| K = range(1, 16) | |
| fig = plt.figure() | |
| ax = fig.add_subplot(111) | |
| ax.plot(K, avgWithinSS, 'b*-') | |
| plt.grid(True) | |
| plt.xlabel('Number of clusters') | |
| plt.ylim((1.6, 2.0)) | |
| plt.ylabel('Average within-cluster sum of squares') | |
| plt.title('Elbow for KMeans clustering') |
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