ddata = dendrogram(*args, **kwargs) if not kwargs.get('no_plot', False): plt.title('Hierarchical Clustering Dendrogram (truncated)') plt.xlabel('sample index or (cluster size)') plt.ylabel('distance') for i, d, c in zip(ddata['icoord'], ddata['dcoord'], ddata['color_list'...
array([[1,0],[1,1],[3,2],[4,3],[2,5]]) y=pdist(a,'cityblock') yc=squareform(y) z=linkage(y) dendrogram(z) {'icoord': [[5.0, 5.0, 15.0, 15.0], [35.0, 35.0, 45.0, 45.0], [25.0, 25.0, 40.0, 40.0], [10.0, 10.0, 32.5, 32.5]], 'dcoord': [[0.0, 1.0, 1.0, ...
from scipy.cluster.hierarchy import dendrogram, linkage,fcluster 1. 2. 3. 4. 5. 6. a = np.array([[1,0],[1,1],[3,2],[4,3],[2,5]]) y=pdist(a,'cityblock') yc=squareform(y) 1. 2. 3. z=linkage(y) dendrogram(z) 1. 2. {'icoord': [[15.0, 15.0, 25.0, 25.0], [3...
annotate_above=kwargs.pop('annotate_above',0)ddata=dendrogram(*args,**kwargs)ifnotkwargs.get('no_plot',False):plt.title('Hierarchical Clustering Dendrogram (truncated)')plt.xlabel('sample index or (cluster size)')plt.ylabel('distance')fori,d,cinzip(ddata['icoord'],ddata['dcoord'],d...
本文简要介绍 python 语言中scipy.cluster.hierarchy.dendrogram的用法。 用法: scipy.cluster.hierarchy.dendrogram(Z, p=30, truncate_mode=None, color_threshold=None, get_leaves=True, orientation='top', labels=None, count_sort=False, distance_sort=False, show_leaf_counts=True, no_plot=False, no_la...