First Y-Short Tandem Repeat Categorical Dataset for Clustering Applications. (17th February 2013)

• Record Type: Journal Article
• Authors: Seman, Ali; Abu Bakar, Zainab; Isa, Mohamed Nizam
• Other Names: Grolmusz Vince Academic Editor.; Nanni Loris Academic Editor.
• Is Part Of: Dataset papers in science. Volume 2013(2013)
• Publication Date: 2013-02-17
• Subjects: Science -- Periodicals; Medicine -- Periodicals; Biology -- Periodicals; Biology; Medicine; Science; Electronic journals; Electronic journals; Periodicals; 500
• DOI: 10.7167/2013/364725
• Languages: English
• ISSNs: 2314-8497

Abstract

Abstract : The Y-chromosome short tandem repeat (Y-STR) data are mainly collected for a performance benchmarking result in clustering methods. There are six Y-STR dataset items, divided into two categories: Y-STR surname and Y-haplogroup data presented here. The Y-STR data are categorical, unique, and different from the other categorical data. They are composed of a lot of similar and almost similar objects. This characteristic of the Y-STR data has caused certain problems of the existing clustering algorithms in clustering them.