dataSets: Example Data Sets for dimensionality reduction
Description
A compilation of standard data sets that are often being used to
showcase dimensionality reduction techniques.
Usage
loadDataSet(name = dataSetList(), n = 2000, sigma = 0.05)
dataSetList()
Value
loadDataSet an object of class
dimRedData. dataSetList() return a
character string with the implemented data sets
Arguments
name
A character vector that specifies the name of the data
set.
n
In generated data sets the number of points to be
generated, else ignored.
sigma
In generated data sets the standard deviation of the
noise added, else ignored.
Details
The argument name should be one of
dataSetList(). Partial matching is possible, see
match.arg. Generated data sets contain the internal
coordinates of the manifold in the meta slot. Call
dataSetList() to see what data sets are available.
## a list of available data sets:dataSetList()
## Load a data set:swissRoll <- loadDataSet("Swiss Roll")
plot(swissRoll, type = "3vars")
## Load Iris data set, partial matching:loadDataSet("I")