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63 | 63 | # ============ |
64 | 64 | # Set up cluster parameters |
65 | 65 | # ============ |
66 | | -plt.figure(figsize=(9 * 2 + 3, 12.5)) |
67 | | -plt.subplots_adjust(left=.02, right=.98, bottom=.001, top=.96, wspace=.05, |
| 66 | +plt.figure(figsize=(9 * 2 + 3, 13)) |
| 67 | +plt.subplots_adjust(left=.02, right=.98, bottom=.001, top=.95, wspace=.05, |
68 | 68 | hspace=.01) |
69 | 69 |
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70 | 70 | plot_num = 1 |
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135 | 135 | n_components=params['n_clusters'], covariance_type='full') |
136 | 136 |
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137 | 137 | clustering_algorithms = ( |
138 | | - ('MiniBatchKMeans', two_means), |
139 | | - ('AffinityPropagation', affinity_propagation), |
| 138 | + ('MiniBatch\nKMeans', two_means), |
| 139 | + ('Affinity\nPropagation', affinity_propagation), |
140 | 140 | ('MeanShift', ms), |
141 | | - ('SpectralClustering', spectral), |
| 141 | + ('Spectral\nClustering', spectral), |
142 | 142 | ('Ward', ward), |
143 | | - ('AgglomerativeClustering', average_linkage), |
| 143 | + ('Agglomerative\nClustering', average_linkage), |
144 | 144 | ('DBSCAN', dbscan), |
145 | 145 | ('OPTICS', optics), |
146 | 146 | ('BIRCH', birch), |
147 | | - ('GaussianMixture', gmm) |
| 147 | + ('Gaussian\nMixture', gmm) |
148 | 148 | ) |
149 | 149 |
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150 | 150 | for name, algorithm in clustering_algorithms: |
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