pmclust.reduceK

internal

Internal Functions

Aims to utilize model-based clustering (unsupervised)
for high dimensional and ultra large data, especially in a distributed
manner. The code employs 'pbdMPI' to perform a
expectation-gathering-maximization algorithm
for finite mixture Gaussian
models. The unstructured dispersion matrices are assumed in the
Gaussian models. The implementation is default in the single program
multiple data programming model. The code can be executed
through 'pbdMPI' and MPI' implementations such as 'OpenMPI'
and 'MPICH'.
See the High Performance Statistical Computing website
<https://snoweye.github.io/hpsc/>
for more information, documents and examples.

Wei-Chen Chen

pmclust

Parallel Model-Based Clustering using
Expectation-Gathering-Maximization Algorithm for Finite Mixture
Gaussian Model

George Ostrouchov

Internal Functions function

All Internal Functions — Internal Functions

All Internal Functions

Internal Functions: All Internal Functions

Description

Arguments

References