A comparative study and performance evaluation of similarity measures for data clustering

• Main Authors: Usman, Dauda, Mohamad, Ismail
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/60995/1/IsmailMohamad2014_AComparativeStudyandPerformanceEvaluation.pdf; http://eprints.utm.my/id/eprint/60995/

Clustering is a useful technique that organizes a large quantity of unordered datasets into a small number of meaningful and coherent clusters. A wide variety of distance functions and similarity measures have been used for clustering, such as squared Euclidean distance, Manhattan distance and relat...