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Spectrum  

Fast Adaptive Spectral Clustering for Single and Multi-View Data
View on CRAN: Click here


Download and install Spectrum package within the R console
Install from CRAN:
install.packages("Spectrum")

Install from Github:
library("remotes")
install_github("cran/Spectrum")

Install by package version:
library("remotes")
install_version("Spectrum", "1.1")



Attach the package and use:
library("Spectrum")
Maintained by
Christopher R John
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-08
Latest Update: 2020-02-10
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.
How to cite:
Christopher R John (2019). Spectrum: Fast Adaptive Spectral Clustering for Single and Multi-View Data. R package version 1.1, https://cran.r-project.org/web/packages/Spectrum. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1 (2019-02-08 17:03), 0.2 (2019-02-11 09:43), 0.3 (2019-02-18 11:00), 0.4 (2019-03-15 12:05), 0.5 (2019-04-08 14:53), 0.6 (2019-05-28 14:40), 0.7 (2019-07-29 15:00), 0.8 (2019-08-19 11:40), 0.9 (2019-10-07 14:10), 1.0 (2019-12-03 11:40)
Other packages that cited Spectrum R package
View Spectrum citation profile
Other R packages that Spectrum depends, imports, suggests or enhances
Complete documentation for Spectrum
Functions, R codes and Examples using the Spectrum R package
Some associated functions: CNN_kernel . Spectrum . blobs . brain . circles . cluster_similarity . estimate_k . harmonise_ids . integrate_similarity_matrices . kernel_pca . mean_imputation . missl . misslfilled . ng_kernel . pca . rbfkernel_b . sigma_finder . spirals . 
Some associated R codes: core_functions.R . data.R . kernel_functions.R . plotting_functions.R . spectrum.R .  Full Spectrum package functions and examples
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