Sparse Subspace Clustering¶
SSC-OMP¶
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Builds K-sparse self-expressive representations of vectors in X in terms of other vectors in X |
Builds K-sparse self-expressive representations of vectors in X in terms of other vectors in X |
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Builds K-sparse self-expressive representations of vectors in X in terms of other vectors in X |
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Builds K-sparse self-expressive representations of vectors in X in terms of other vectors in X |
Utility functions
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Combines values and indices arrays to sparse representations |
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“Combines values and indices arrays to a BCOO formatted sparse matrix |
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Converts it back to values and indices (column-wise) format |
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Converts it back to values and indices (column-wise) format |
Converts sparse representations to symmetric affinity matrix |
Metrics for quality of sparse subspace clustering¶
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Returns the statistics for subspace preservation |
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Returns the statistics for subspace preservation |
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Returns the statistics for subspace preservation from sparse representations |
Returns the statistics for subspace preservation from sparse representations |
Tools for analyzing data (with ground truth)¶
Returns an SxS matrix of angles between each pair of points |
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Returns the minimum angles for for each point with its neighbors inside the cluster |
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Returns the minimum angles for each point with its neighbors from all other clusters |
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Returns the index of the nearest neighbor for each point inside the cluster |
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Returns index of the nearest neighbor for each point with its neighbors from all other clusters |
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Returns the neighbor indices sorted by angle between points |
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Returns the position of a neighbor inside the cluster for each point in its list of sorted neighbors across all clusters |