USArrests.featureAllocations

<p>Randomly generated feature allocations of the states in the USArrests dataset.</p>

datasets

Summaries of distributions on clusterings and feature allocations are provided. Specifically, point estimates are obtained by the sequentially-allocated latent structure optimization (SALSO) algorithm to minimize squared error loss, absolute error loss, Binder loss, or the lower bound of the variation of information loss. Clustering uncertainty can be assessed with the confidence calculations and the associated plot.

David B Dahl

sdols

Summarizing Distributions of Latent Structures

David B. Dahl

Peter M<c3><bc>ller

USArrests.featureAllocations function

<p>A list of 1000 randomly generated feature allocations for the 50 states in the USArrests dataset.</p>

USArrests.featureAllocations: Feature Allocations of the USArrests Dataset

Description

Usage

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See Also