A Novel Hybrid Clustering Techniques based on K-Means, PSO and Dynamic Optimization
نویسندگان
چکیده
منابع مشابه
A Novel Hybrid Clustering Techniques based on K-Means, PSO and Dynamic Optimization
Clustering is a process for partitioning datasets. This technique is a challenging field of research in which their potential applications pose their own special requirements. K-Means is the most extensively used algorithm to find a partition that minimizes Mean Square Error (MSE) is an exigent task. The Object Function of the K-Means is not convex and hence it may contain local minima. ACO met...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/21184-4258