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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
Version
1.0
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Install
install.packages('uHMM')
Monthly Downloads
133
Version
1.0
License
GPL (>= 2)
Maintainer
Paul TERNYNCK
Last Published
April 22nd, 2016
Functions in uHMM (1.0)
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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