Example Data Sets for dimensionality reduction
A compilation of standard data sets that are often being used to showcase dimensionality reduction techniques.
loadDataSet(name = dataSetList(), n = 2000, sigma = 0.05) dataSetList()
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. |
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.
loadDataSet an object of class
dimRedData. dataSetList() return a
character string with the implemented data sets
## 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")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.