Document Details

Document Type : Article In Journal 
Document Title :
Cluster center initialization algorithm for K-modes clustering
خوارزمية التهيئة لمركز الكتلة لمجموعات تقسيم K-modes
 
Subject : Computer Science 
Document Language : English 
Abstract : Partitional clustering of categorical data is normally performed by using K-modes clustering algorithm, which works well for large datasets. Even though the design and implementation of K-modes algorithm is simple and efficient, it has the pitfall of randomly choosing the initial cluster centers for invoking every new execution that may lead to non-repeatable clustering results. This paper addresses the randomized center initialization problem of K-modes algorithm by proposing a cluster center initialization algorithm. The proposed algorithm performs multiple clustering of the data based on attribute values in different attributes and yields deterministic modes that are to be used as initial cluster centers. In the paper, we propose a new method for selecting the most relevant attributes, namely Prominent attributes, compare it with another existing method to find Significant attributes for unsupervised learning, and perform multiple clustering of data to find initial cluster centers. The proposed algorithm ensures fixed initial cluster centers and thus repeatable clustering results. The worst-case time complexity of the proposed algorithm is log-linear to the number of data objects. We evaluate the proposed algorithm on several categorical datasets and compared it against random initialization and two other initialization methods, and show that the proposed method performs better in terms of accuracy and time complexity. The initial cluster centers computed by the proposed approach are close to the actual cluster centers of the different data we tested, which leads to faster convergence of K-modes clustering algorithm in conjunction to better clustering results 
ISSN : 0957-4174 
Journal Name : Expert Systems with Applications 
Volume : 40 
Issue Number : 18 
Publishing Year : 1433 AH
2012 AD 
Article Type : Article 
Added Date : Wednesday, November 6, 2013 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
أمير احمدAhmad, Amir ResearcherDoctorateamirahmad01@gmail.com
Shehroz KhanKhan, Shehroz Researcher  

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