R: Mean, cluster size and center - cluster utilities

cls.attrib {clv} | R Documentation

## Mean, cluster size and center - cluster utilities

### Description

Mean, center of each cluster, number of objects in each cluster - informations retrieved from partitioned data using `cls.attrib`.

### Usage

    cls.attrib(data, clust)

### Arguments

`data` | `numeric matrix` or `data.frame` where columns correspond to variables and rows to observations.
`clust` | integer `vector` with information about cluster id the object is assigned to. If vector is not integer type, it will be coerced with warning.

### Value

As a result function returns object of `list` type which contains three objects with information about:
`mean` - `numeric vector` which represents mean of given `data`,
`cluster.center` - `numeric matrix` where columns correspond to variables and rows to observations,
`cluster.size` - `integer vector` with information about size of each cluster.

### Author(s)

Lukasz Nieweglowski

### See Also

Result of function is mostly used to compute following indicies: `clv.Dis`, `wcls.matrix`, `bcls.matrix`.

### Examples

    # create "data" matrix
    mx <- matrix(0,4,2)
    mx[2,1] = mx[3,2] = mx[4,1] = mx[4,2] = 1
    # give information about cluster assignment
    clust = as.integer(c(1,1,2,2))
    cls.attrib(mx,clust)

[Package clv version 0.3-2.2 Index]