Last data update: 2014.03.03

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Results 1 - 10 of 14 found.
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transitionMatrix (Package: uHMM) : Transition matrix estimation

This function estimates the transition matrix of a (Hidden) Markov Model from a vector of state sequencing.
● Data Source: CranContrib
● Keywords:
● Alias: transitionMatrix
● 0 images

ZPGaussianSimilarity (Package: uHMM) : Similarity matrix with local scale parameter

Compute and return the similarity matrix of a data frame using gaussian kernel with a local scale parameter for each data point, rather than a unique scale parameter.
● Data Source: CranContrib
● Keywords:
● Alias: ZPGaussianSimilarity
● 0 images

MarelCarnot (Package: uHMM) : MarelCarnot dataset

The MarelCarnot data set gives the measurements of 14 physico-chemical and biological parameters performed by the Marel-Carnot station (Boulogne-sur-Mer, France), at high frequency resolution.
● Data Source: CranContrib
● Keywords:
● Alias: MarelCarnot
● 0 images

HMMparams (Package: uHMM) : Hidden Markov Model parameter estimation

This function is used by the uHMMinterface to estimate parameters of a Hidden Markov Model.
● Data Source: CranContrib
● Keywords:
● Alias: HMMparams
● 0 images

KmeansAutoElbow (Package: uHMM) : KmeansAutoElbow function

KmeansAutoElbow performs k-means clustering on a dataframe with selection of optimal number of clusters using elbow criteria.
● Data Source: CranContrib
● Keywords:
● Alias: KmeansAutoElbow
● 0 images

cutCalculation (Package: uHMM) : cutCalculation function

Compute intra and inter-cluster cuts from the similarity matrix of a dataset.
● Data Source: CranContrib
● Keywords:
● Alias: cutCalculation
● 0 images

KpartitionNJW (Package: uHMM) : KpartitionNJW function

Perform spectral classification on the similarity matrix of a dataset (Ng et al. (2001) algorithm), using kmeans algorithm on data projected in the space of its K first eigen vectors.
● Data Source: CranContrib
● Keywords:
● Alias: KpartitionNJW
● 0 images

FastSpectralNJW (Package: uHMM) : Jordan Fast Spectral Algorithm

Perform the Jordan spectral algorithm for large databases. Data are sampled, using K-means with Elbow criteria, before being classified.
● Data Source: CranContrib
● Keywords:
● Alias: FastSpectralNJW
● 0 images

emissionMatrix (Package: uHMM) : Emission matrix estimation

This function estimates the emission matrix of a Hidden Markov Model from vectors of state and symbol sequencing.
● Data Source: CranContrib
● Keywords:
● Alias: emissionMatrix
● 0 images

spectralPamClusteringNg (Package: uHMM) : spectralPamClusteringNg function

Perform spectral classification on the similarity matrix of a dataset, using pam algorithm (a more robust version of K-means) on projected data.
● Data Source: CranContrib
● Keywords:
● Alias: spectralPamClusteringNg
● 0 images