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lens = mapper.fit_transform(data)
graph = mapper.map(lens,
data,
clusterer=sklearn.cluster.DBSCAN(eps=0.1, min_samples=5),
cover=km.Cover(30, 0.2))
mapper.visualize(graph,
path_html="output/horse.html",
custom_tooltips=np.arange(len(lens)))
km.drawing.draw_matplotlib(graph)
plt.show()