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Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 5 of 5 found.
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Normalize test data using output from the normalize() of the training data
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: normalizetest
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0 images
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smda
(Package: sparseLDA) :
Sparse mixture discriminant analysis
Performs sparse linear discriminant analysis for mixture of gaussians models.
● Data Source:
CranContrib
● Keywords: classif, multivariate
● Alias: smda, smda.default
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0 images
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normalize
(Package: sparseLDA) :
Normalize training data
Normalize a vector or matrix to zero mean and unit length columns
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: normalize
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0 images
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sda
(Package: sparseLDA) :
Sparse discriminant analysis
Performs sparse linear discriminant analysis. Using an alternating minimization algorithm to minimize the SDA criterion.
● Data Source:
CranContrib
● Keywords: classif, multivariate
● Alias: sda, sda.default
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0 images
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Prediction functions for link{sda} and link{smda}.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: predict.sda, predict.smda
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0 images
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providing 
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