scikit-learn 中是否有任何类型的子空间聚类包可用 [英] Is there any kind of subspace clustering package available in scikit-learn

问题描述

scikit-learn 中是否有任何类型的子空间聚类包可用.

Is there any kind of subspace clustering packages available in scikit-learn.

推荐答案

如果有人仍然感兴趣.是的，有一个使用 scikit-learn:子空间聚类.它是一个用于大规模子空间聚类的工具箱.聚类算法实现为两个类 ElasticNetSubspaceClustering 和 SparseSubspaceClusteringOMP，它们具有拟合函数来学习聚类.它们的使用方式可能与 sklearn.cluster 中的 KMeans、SpectralClustering 和其他方法相同.

If someone is still interested. Yes, there is one that uses scikit-learn: Subspace-Clustering. It is a toolbox for large scale subspace clustering. The clustering algorithms are implemented as two classes ElasticNetSubspaceClustering and SparseSubspaceClusteringOMP that have a fit function to learn the clusters. They may be used in the same way as the KMeans, SpectralClustering and others that are in sklearn.cluster.

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