generate_split_data

<p>Standard deviation from the cluster center</p>

<p>Generates a dataset used to exemplify clustering
The cluster centers are set relatively far away to
see how well the algorithm performs in simple scenarios</p>

Basic implementation of a Gibbs sampler for a Chinese Restaurant Process along with some visual aids to help understand how the sampling works. This is developed as part of a postgraduate school project for an Advanced Bayesian Nonparametric course. It is inspired by Tamara Broderick's presentation on Nonparametric Bayesian statistics given at the Simons institute.

Erik-Cristian Seulean

nonparametric.bayes

Project Code - Nonparametric Bayes

generate_split_data function

Generates a dataset used to exemplify clustering
The cluster centers are set relatively far away to
see how well the algorithm performs in simple scenarios — generate_split_data

Generates a dataset used to exemplify clustering
The cluster centers are set relatively far away to
see how well the algorithm performs in simple scenarios

generate_split_data: Generates a dataset used to exemplify clustering The cluster centers are set relatively far away to see how well the algorithm performs in simple scenarios

Description

Usage

Arguments

Value