Recent trends in Ant Colony Optimization and data clustering: A brief survey

Abstract

Cluster Analysis is a popular data analysis and data mining technique. High quality and fast clustering algorithms play a vital role for users to navigate, effectively organize the data and summarize data. Ant Colony Optimization (ACO), a Swarm Intelligence technique, integrated with clustering algorithms, is being used by many applications for past few years. In this paper we discuss recent improvements on clustering algorithms like PP (Project Pursuit) based on the ACO algorithm for high dimensional data, recent applications of Data Clustering with ACO, application of Ant-based clustering algorithm for object finding by multiple robots in image processing field and the hybrid PSO/ACO algorithm for better optimized results.