Description Multiview dimensionality reduction Multiview clustering
The multiview
package provides multiview methods to work with multiview data
(datasets with several data matrices from the same samples). It contains methods
for multiview dimensionality reduction and methods for multiview clustering.
Given a multiview dataset with v
input data matrices,
multiview dimensionality reduction methods produce a single, low-dimensional
projection of the input data samples, trying to mantain as much of the original
information as possible.
Package multiview
offers the function mvmds
to perform multiview
dimensionality reduction in a similar way than the multidimensional scaling
method (cmdscale
).
Another dimensionality reduction function in this package is mvtsne
, that
extends tsne
to multiview data.
Given a multiview dataset with v
input data matrices,
multiview clustering methods produce a single clustering assignment, considering
the information from all the input views.
Package multiview
offers the function mvsc
to perform multiview
spectral clustering. It is an extension to spectral clustering
(specc
) to multiview datasets.
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