protected:limbo
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Table of Contents
LIMBO Algorithm
History
Algorithm was developed by Periklis Andritsos and Vassilios Tzerpos.
Algorithm Intent
Banch algorithm produces nested decomposition from a software system.
Factbase Properties
Factbased is generic dependency data table where each row describes one entity to be cluster. Each column contains the value for a specific attribute.
Clustering Objectives
The Limbo algorithm produces software decomposition with minimum information loss.
Process Description
An agglomerative clustering algorithm that on each step merges two clusters with least information loss.
The information lost calculates using formulas from Agglomerative Information Bottleneck algorithm.
Decomposition Properties
The LIMBO decomposition has a small value for its information lost function.
Algorithm Restrictions
Failed Assumptions
Detailed Algorithm Description
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protected/limbo.1242099575.txt.gz · Last modified: 2009/05/12 03:39 by mark