Spectrum

Versatile Ultra-Fast Spectral Clustering for Single and Multi-View Data

A versatile ultra-fast spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens local connections in dense regions in the graph. For integrating multi-view data and reducing noise we use a recently developed tensor product graph data integration and diffusion system. 'Spectrum' contains two techniques for finding the number of clusters (K); the classical eigengap method and a novel multimodality gap procedure. The multimodality gap analyses the distribution of the eigenvectors of the graph Laplacian to decide K and tune the kernel. 'Spectrum' is suited for clustering a wide range of complex data.

Total

274

Last month

274

Last week

107

Average per day

9

Daily downloads

Total downloads

Description file content

Package
Spectrum
Title
Versatile Ultra-Fast Spectral Clustering for Single and Multi-View Data
Version
0.3
Author
Christopher R John, David Watson
Maintainer
Christopher R John
Description
A versatile ultra-fast spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens local connections in dense regions in the graph. For integrating multi-view data and reducing noise we use a recently developed tensor product graph data integration and diffusion system. 'Spectrum' contains two techniques for finding the number of clusters (K); the classical eigengap method and a novel multimodality gap procedure. The multimodality gap analyses the distribution of the eigenvectors of the graph Laplacian to decide K and tune the kernel. 'Spectrum' is suited for clustering a wide range of complex data.
Depends
R (>= 3.5.0)
License
AGPL-3
Encoding
UTF-8
LazyData
true
Imports
ggplot2, Rtsne, ClusterR, umap, Rfast, RColorBrewer, diptest
Suggests
knitr
VignetteBuilder
knitr
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-02-15 14:39:19 UTC; christopher
Repository
CRAN
Date/Publication
2019-02-18 10:00:18 UTC

install.packages('Spectrum')

0.3

3 days ago

Christopher R John

AGPL-3

Depends on

R (>= 3.5.0)

Imports

ggplot2, Rtsne, ClusterR, umap, Rfast, RColorBrewer, diptest

Suggests

knitr

Discussions