ACO documents clustering - details of processing and results of experiments
Abstract
Ant algorithms, particularly Ant Colony Optimization met-heuristic, are a universal and flexible solution. In this publication the author presents the implementation of that technique in the documents clustering area - the new documents clustering method. The aim of this document is to present the details of the ACO documents clustering method, potential ways to optimize its processing and detail results of experiments.
Full Text:
PDFDOI: http://dx.doi.org/10.17951/ai.2006.5.1.279-289
Date of publication: 2006-01-01 00:00:00
Date of submission: 2016-04-27 10:15:59
Statistics
Total abstract view - 518
Downloads (from 2020-06-17) - PDF - 0
Indicators
Refbacks
- There are currently no refbacks.
Copyright (c) 2015 Annales UMCS Sectio AI Informatica
This work is licensed under a Creative Commons Attribution 4.0 International License.