fdm2id: kmeans.getk – R documentation

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kmeans.getk

Estimation of the number of clusters for K-means

Estimate the optimal number of cluster of the K-means clustering method.

kmeans.getk(
  d,
  max = 9,
  criterion = "pseudo-F",
  graph = TRUE,
  nstart = 10,
  seed = NULL
)

`d`	The dataset (`matrix` or `data.frame`).
`max`	The maximum number of clusters. Values from 2 to `max` are evaluated.
`criterion`	The criterion to be optimized. `"pseudo-F"` is the only criterion implemented in the current version.
`graph`	A logical indicating whether or not a graphic should be plotted.
`nstart`	The number of random sets chosen for `kmeans` initialization.
`seed`	A specified seed for random number generation.

The optimal number of cluster of the K-means clustering method according to the chosen criterion.

require (datasets)
data (iris)
kmeans.getk (iris [, -5])

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release