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Description

Threshing and Reaping for Principal Components.

Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.

Overview

This directory contains the code that performed two sets of simulations for the manuscript "Thresher: Determining the Number of Clusters while Removing Outliers".

Metadata

Version

1.1.4

License

Unknown

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