clustOutput-class {MLInterfaces} | R Documentation

## Class "clustOutput" container for cluster analysis results

### Description

container for cluster analysis results

### Objects from the Class

Objects can be created by calls of the form `new("clustOutput", ...)`.

### Slots

`clustIndices`:
  Object of class `MLLabel`
`clustScores`:
  Object of class `MLScore`, when a numerical figure of clustering is available
`method`:
  Object of class `"character"` tag indicating name of procedure
`RObject`:
  Object of class `"ANY"` unprocessed output of the clustering function
`call`:
  Object of class `"call"` audit of the call that created the object
`distMat`:
  Object of class `"dist"` distance among objects

### Extends

Class `"MLOutput"`, directly.

### Methods

show
  `signature(object = "clustOutput")`: concise report
silhouetteB
  `signature(out = "clustOutput")`: compute the `silhouette` object corresponding to the partition

### Author(s)

VJ Carey <stvjc@channing.harvard.edu>

### See Also

`"classifOutput"`

### Examples

    showClass("clustOutput")

     library(golubEsets)
     data(Golub_Merge)
     train <- c(sample(1:47, 23), sample(48:72, 12))
     agOut <- agnesB(Golub_Merge[100:200,], 3)
     agOut
     sil.ag <- silhouetteB(agOut)
     plot(sil.ag, main="Silhouette Plot for Agnes Clustering")

[Package MLInterfaces version 1.12.0 Index]