About Anaconda Help Download Anaconda
If you were automatically logged out you may need to refresh the page. You're trying to access a page that requires authentication. ×

A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens connections in the graph based on common nearest neighbours. It uses a tensor product graph data integration and diffusion procedure to integrate different data sources and reduce noise. 'Spectrum' uses either the eigengap or multimodality gap heuristics to determine the number of clusters. The method is sufficiently flexible so that a wide range of Gaussian and non-Gaussian structures can be clustered with automatic selection of K.

copied from cf-post-staging / r-spectrum
Type Size Name Uploaded Downloads Labels
conda 3.4 MB | noarch/r-spectrum-1.1-r44hc72bb7e_2.conda  1 day and 13 hours ago 31 main
conda 3.4 MB | noarch/r-spectrum-1.1-r45hc72bb7e_2.conda  1 day and 13 hours ago 25 main
conda 3.4 MB | noarch/r-spectrum-1.1-r43hc72bb7e_1.conda  1 year and 1 month ago 1002 main
conda 3.4 MB | noarch/r-spectrum-1.1-r44hc72bb7e_1.conda  1 year and 1 month ago 936 main
conda 3.4 MB | noarch/r-spectrum-1.1-r43hc72bb7e_0.conda  1 year and 2 months ago 1002 main

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.2) Legal | Privacy Policy