gbphate: Generalized Bayesian Clustering with PHATE Geometry

In kyoustat/T4cluster: Tools for Cluster Analysis

Description

Generalized Bayesian Clustering with PHATE Geometry

Usage

gbphate(data, k = 2, ...)

Arguments

data	an (n\times p) matrix of row-stacked observations.
k	the number of clusters (default: 2).
...	extra parameters including nnbd size of nearest neighborhood (default: 5). alpha decay parameter for Gaussian kernel exponent (default: 2). gamma_a hyperparameter of the Gamma prior (default: 0). gamma_b hyperparameter of the Gamma prior (default: 0). burn_in number of MCMC samples to be thrown away for burn-in (default: 50). nsample number of MCMC samples to be kept after burn-in (default: 50). random.start a logical to use random initialization or not (default: TRUE). print.progress a logical to show how much an algorithm is proceeded (default: FALSE.)

kyoustat/T4cluster documentation built on Sept. 27, 2021, 11:10 a.m.