bootFlexclust {flexclust} | R Documentation |
Runs clustering algorithms repeatedly for different numbers of clusters on bootstrap replica of the original data and returns corresponding cluster assignments, centroids and Rand indices comparing pairs of partitions.
bootFlexclust(x, k, nboot=100, verbose=TRUE, correct=TRUE, ...) ## S4 method for signature 'bootFlexclust, missing': plot(x, y, ...) ## S4 method for signature 'bootFlexclust': boxplot(x, ...) ## S4 method for signature 'bootFlexclust': densityplot(x, data, ...)
x, k, ... |
Passed to stepFlexclust . |
nboot |
Number of bootstrap pairs of partitions. |
verbose |
If TRUE , show progress information during
computations. |
correct |
Logical, correct the index for agreement by chance? |
y, data |
Not used. |
Friedrich Leisch
## data uniform on unit square x <- matrix(runif(400), ncol=2) bcl <- bootFlexclust(x, k=2:7, nboot=20, FUN=cclust) bcl summary(bcl) ## splitting the square into four quadrants should be the most stable ## solution (increase nboot if not) plot(bcl) densityplot(bcl, from=0)