Thresher

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>.

README

---
author: Min Wang and Kevin R. Coombes
title: Thresher Simulations
date: 2017-12-14
---

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

Versions across snapshots

Dependencies (latest)