Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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SMO (statistical methods ontology)
Results 1 - 10 of 91 found.
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Images
Implements the expectation step in the EM algorithm for a parameterized Gaussian mixture model.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: estepE, estepEEE, estepEEI, estepEEV, estepEII, estepEVE, estepEVI, estepEVV, estepV, estepVEE, estepVEI, estepVEV, estepVII, estepVVE, estepVVI, estepVVV
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0 images
Internal functions not intended to be called directly by users.
● Data Source:
CranContrib
● Keywords: internal
● Alias: combi, pcws2_reg, pcws3_reg, xlog
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0 images
Determines the classifications corresponding to different numbers of groups given merge pairs from hierarchical agglomeration.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: hclass
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0 images
mclustBootstrapLRT
(Package: mclust ) :
Bootstrap Likelihood Ratio Test for the Number of Mixture Components
Perform the likelihood ratio test (LRT) for assessing the number of mixture components in a specific finite mixture model parameterisation. The observed significance is approximated by using the (parametric) bootstrap for the likelihood ratio test statistic (LRTS).
● Data Source:
CranContrib
● Keywords: cluster, htest
● Alias: mclustBootstrapLRT, plot.mclustBootstrapLRT, print.mclustBootstrapLRT
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0 images
Computes the adjusted Rand index comparing two classifications.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: adjustedRandIndex
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0 images
Creates a scatter plot for each pair of variables in given data, allowing display of imputations for missing values in different colors and symbols than non missing values.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: imputePairs
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0 images
Description of model names used in the MCLUST package.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: mclustModelNames
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0 images
Plots random projections given multidimensional data and parameters of an MVN mixture model for the data.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: randProj
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0 images
summary.mclustBIC
(Package: mclust ) :
Summary function for model-based clustering via BIC
Optimal model characteristics and classification for model-based clustering via mclustBIC
.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: print.summary.mclustBIC, printSummaryMclustBIC, printSummaryMclustBICn, summary.mclustBIC, summaryMclustBIC, summaryMclustBICn
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0 images
Best correspondence between classes given two vectors viewed as alternative classifications of the same object.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: mapClass
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0 images