Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms

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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms

Exploring the dataset features through the application of clustering algorithms is a viable means by which the conceptual description of such data can be revealed for better understanding, grouping and decision making. Some clustering algorithms, especially those that are partitioned-based, clusters...

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Bibliographic Details
Main Authors:	Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke
Format:	Article
Language:	English
Published:	Foundation of Computer Science (FCS) 2014
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6418/ http://umpir.ump.edu.my/id/eprint/6418/1/Cluster_Analysis_of_Data_Points_using_Partitioning_and_Probabilistic_Model-based_Algorithms.pdf

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