R: Get optimal partition (final clusters names)

getOptimalPartition {factorMerger} | R Documentation

## Get optimal partition (final clusters names)

### Description

Splits factor levels into non-overlapping clusters based on a `factorMerger` object. If a `stat` is `"loglikelihood"` or "p-value" then performs bottom-up search through models on the merging path until spots a model scored worse than the given threshold (`value`). If `stat = "GIC"`, `value` is interpreted as GIC penalty and optimal GIC model is returned.

### Usage

    getOptimalPartition(factorMerger, stat = "GIC", value = 2)

### Arguments

`factorMerger` | object of a class `factorMerger`
`stat` | statistic used in the bottom-up search. Available statistics are: `"loglikelihood"`, `"pvalue"`, `"GIC"`.
`value` | cut threshold / GIC penalty

### Details

By default, `cutree` returns factor partition corresponding to the optimal GIC model (with the lowest GIC).

### Value

Returns a vector with the final cluster names from the `factorMerger` object.

[Package factorMerger version 0.3.2 Index]