Description Usage Arguments Author(s) Examples
Wrappers of various dimension reduction algorithms. Data after dimension reduction can also be easily visualized.
1 2 3 4 5 6 7 8 | dr(formula, data, normalize = TRUE, unique = TRUE,
methods = c("pca", "kpca" ,"mds", "tsne", "lle", "som", "diffmap"),
kpca.par = list(kernel = "rbfdot", sigma = 0.1),
mds.par = list(k = 2),
tsne.par = list(dims = 2, initial_dims = 50, perplexity = 30, theta = 0.5),
lle.par = list(m = 2, k = 5, reg = 2, p = 0.5),
som.par = list(xdim = 5, ydim = 6),
diffmap.par = list(neigen = NULL, t = 0, maxdim = 50, delta=10^-5))
|
formula |
an object of class "formula" : a symbolic description of the model whose dimension is reduced. Explanatory variables may be present or absent, and may be factors or numerical values. |
data |
an optional data frame containing the variables in the model. |
Toshihiro Iguchi
1 2 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.