clusPath {condvis2} | R Documentation |
Constructs tours of data space based on centers of clusters
Description
Constructs tours of data space based on centers of clusters
Usage
kmeansPath(data, length = 10, reorder = TRUE, conditionvars = NULL, ...)
pamPath(
data,
length = 10,
reorder = TRUE,
conditionvars = NULL,
maxn = 4000,
...
)
claraPath(data, length = 10, reorder = TRUE, conditionvars = NULL, ...)
medoidPath(data, cl, reorder = FALSE)
centroidPath(data, cl, reorder = FALSE)
Arguments
data |
A dataframe |
length |
Path length, defaults to 10 |
reorder |
If TRUE uses DendSer to reorder the path |
conditionvars |
A vector of variable names. The returned tour is for this subset of variables. |
... |
ignored |
maxn |
(pamPath only) For datasets with more than maxn rows, use maxn randomly selected rows. |
cl |
A vector specifying cluster membership for rows of data. |
Value
A dataframe with the path
Functions
-
kmeansPath()
: Constructs a tour of data space following length k-means centroids -
pamPath()
: Constructs a tour of data space following lengthpam
medoids -
claraPath()
: Constructs a tour of data space following lengthclara
medoids -
medoidPath()
: Returns a path visiting cluster medoids -
centroidPath()
: Returns a path visiting cluster centroids
Examples
kmeansPath(mtcars,length=4)
pamPath(mtcars,length=4)
claraPath(mtcars,length=4)
medoidPath(mtcars,cl=rep(1:3, length.out=nrow(mtcars)))
[Package condvis2 version 0.1.2 Index]