MarcelaCespedes/FSPmix: Exploratory tool for fast unsupervised features selection and clustering using mixture models

Applies univariate mixture models on each feature (K=2) and classifies observations into groups A, B or remain unclassified according to a seperation criteria, group C.

Getting started

Package details

AuthorMarcela Cespedes, Amy Chan and james Doecke
MaintainerThe package maintainer <[email protected]>
License
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MarcelaCespedes/FSPmix")
MarcelaCespedes/FSPmix documentation built on Oct. 30, 2019, 9:11 p.m.