mapper = km.KeplerMapper(cluster_algorithm=km.cluster.DBSCAN(eps=0.1, min_samples=5), nr_cubes=10, overlap_perc=0.8, verbose=1)
mapper.fit(data)
complex = mapper.map(data, dimension_index=1, dimension_name="Y-axis")
mapper.visualize(complex, "cat_keplermapper_output.html", "cat-reference.csv")
// You may want to visualize the original point cloud data in 3D scatter too
After Change
import km
data = km.np.genfromtxt("cat-reference.csv",delimiter=",")
mapper = km.KeplerMapper()
lens = mapper.fit_transform(data)
graph = mapper.map(lens,
data,
clusterer=km.cluster.DBSCAN(eps=0.1, min_samples=5),
