Package: clap 0.1.0

clap: Detecting Class Overlapping Regions in Multidimensional Data

The issue of overlapping regions in multidimensional data arises when different classes or clusters share similar feature representations, making it challenging to delineate distinct boundaries between them accurately. This package provides methods for detecting and visualizing these overlapping regions using partitional clustering techniques based on nearest neighbor distances.

Authors:Priyanga Dilini Talagala [aut, cre, cph]

clap_0.1.0.tar.gz
clap_0.1.0.zip(r-4.7-any)clap_0.1.0.zip(r-4.6-any)clap_0.1.0.zip(r-4.5-any)
clap_0.1.0.tgz(r-4.6-any)clap_0.1.0.tgz(r-4.5-any)
clap_0.1.0.tar.gz(r-4.7-any)clap_0.1.0.tar.gz(r-4.6-any)
clap_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
clap/json (API)

# Install 'clap' in R:

install.packages('clap', repos = c('https://pridiltal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pridiltal/clap/issues

On CRAN:

2.70 score 1 stars 3 scripts 268 downloads 3 exports 17 dependencies

Last updated from:a0e22afe56. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	139
source / vignettes	OK	210
linux-release	OK	106
macos-release	OK	105
macos-oldrel	OK	100
windows-devel	OK	82
windows-release	OK	80
windows-oldrel	OK	83
wasm-release	OK	78

Exports:compute_cluster_composition extract_ids_vector perform_clustering

Dependencies:cli dplyr FNN generics glue lifecycle magrittr mclust pillar pkgconfig R6 rlang tibble tidyselect utf8 vctrs withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
clap: Detecting Class Overlapping Regions in Multidimensional Dat	clap
Compute cluster composition and filter based on percentage	compute_cluster_composition
Extract and convert IDs to numeric vector	extract_ids_vector
Perform clustering based on nearest neighbor distances	perform_clustering