Description
Maximum Homogeneity Clustering for Univariate Data.
Description
Maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) <doi:10.1080/01621459.1958.10501479> via dynamic programming.
README.md
oneclust
Implements the maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) <doi:10.1080/01621459.1958.10501479> via dynamic programming.
Check vignette("oneclust")
for its applications in feature engineering, regression modeling, and peak calling.
Installation
You can install oneclust from CRAN:
install.packages("oneclust")
Or try the development version from GitHub:
remotes::install_github("nanxstats/oneclust")
Gallery
Feature engineering for high-cardinality categorical features
Grouping coefficients in regression models
Sequential data peak calling and segmentation
License
oneclust is free and open source software, licensed under GPL-3.