Description: A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens local connections in the graph. 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.
Packaged: 2019-07-29 12:32:11 UTC; christopher

Description: 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.
Packaged: 2019-08-13 06:17:58 UTC; christopher

Packaged: 2019-10-07 11:06:05 UTC; christopher

Imports: ggplot2, ClusterR, Rfast, diptest
Packaged: 2019-12-03 08:02:09 UTC; christopher

Packaged: 2020-02-10 08:16:36 UTC; christopher

Title: Spherical Wavelets and SW-based Spatially Adaptive Methods
spherical wavelet transform developed Li (1999) and Oh (1999), and
implements wavelet thresholding approaches proposed by Oh and Li
Packaged: Wed Oct 18 23:05:27 2006; Donghoh Kim

spherical wavelet transform developed by Li (1999) and Oh (1999), and
Packaged: Sun Jul 29 06:50:14 2007; DOnghoh Kim

Author: Hee-Seok Oh <heeseok.oh@gmail.com>, Donghoh Kim
Description: This package carries out spherical wavelet transform
developed by Li (1999) and Oh (1999), and implements wavelet
thresholding approaches proposed by Oh and Li (2004).