fpc: dudahart2 – R documentation

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dudahart2

Duda-Hart test for splitting

Duda-Hart test for whether a data set should be split into two clusters.

dudahart2(x,clustering,alpha=0.001)

`x`	data matrix or data frame.
`clustering`	vector of integers. Clustering into two clusters.
`alpha`	numeric between 0 and 1. Significance level (recommended to be small if this is used for estimating the number of clusters).

A list with components

`p.value`	p-value against null hypothesis of homogemeity.
`dh`	ratio of within-cluster sum of squares for two clusters and overall sum of squares.
`compare`	critical value for `dh` at level `alpha`.
`cluster1`	`FALSE` if the null hypothesis of homogemeity is rejected.
`alpha`	see above.
`z`	`1-alpha`-quantile of a standard Gaussian.

Duda, R. O. and Hart, P. E. (1973) Pattern Classification and Scene Analysis. Wiley, New York.

options(digits=2)
  set.seed(98765)
  iriss <- iris[sample(150,20),-5]
  km <- kmeans(iriss,2)
  dudahart2(iriss,km$cluster)

Flexible Procedures for Clustering

v2.2-9

GPL

Authors

Christian Hennig <christian.hennig@unibo.it>

Initial release

2020-12-06