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About Nanda and Panda 2013 - A Survey On Nature Inspired Metaheuristic Algorithms For Partitional Clustering
This document summarizes a survey on nature-inspired metaheuristic algorithms for partitional clustering. It discusses how clustering problems can be formulated as optimization problems and how various evolutionary algorithms, physical algorithms, swarm intelligence algorithms, and other bio-inspired algorithms have been used to solve partitional clustering since the 1990s. The paper also reviews key issues in applying metaheuristics to clustering, such as fitness functions, cluster validity indices, and approaches to multi-objective clustering. It concludes by discussing real-world applications and future research directions in this area.
Detailed Information
| Author: | ['fckw-1'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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