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clap (version 0.1.0)

Detecting Class Overlapping Regions in Multidimensional Data

Description

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.

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Install

install.packages('clap')

Monthly Downloads

160

Version

0.1.0

License

GPL-3

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Last Published

June 28th, 2024

Functions in clap (0.1.0)

perform_clustering

Perform clustering based on nearest neighbor distances
clap

clap: Detecting Class Overlapping Regions in Multidimensional Dat
extract_ids_vector

Extract and convert IDs to numeric vector
compute_cluster_composition

Compute cluster composition and filter based on percentage