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uHMM (version 1.0)

Construct an Unsupervised Hidden Markov Model

Description

Construct a Hidden Markov Model with states learnt by unsupervised classification.

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Version

Install

install.packages('uHMM')

Monthly Downloads

151

Version

1.0

License

GPL (>= 2)

Maintainer

Paul TERNYNCK

Last Published

April 22nd, 2016

Functions in uHMM (1.0)

FastSpectralNJW

Jordan Fast Spectral Algorithm
uHMMinterface

Graphical Interface to Build an uHMM
transitionMatrix

Transition matrix estimation
uHMM-package

Construct an unsupervised Hidden Markov Model
HMMparams

Hidden Markov Model parameter estimation
computeGap

Compute gap between eigenvalues of a similarity matrix
ZPGaussianSimilarity

Similarity matrix with local scale parameter
selfKNN

Self KNN
MarelCarnot

MarelCarnot dataset
KmeansAutoElbow

KmeansAutoElbow function
cutCalculation

cutCalculation function
emissionMatrix

Emission matrix estimation
spectralPamClusteringNg

spectralPamClusteringNg function
KpartitionNJW

KpartitionNJW function