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First Y-Short Tandem Repeat Categorical Dataset for Clustering Applications
Joint Authors
Isa, Mohamed Nizam
Abu Bakar, Zainab
Seman, Ali
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Seman, Ali& Abu Bakar, Zainab& Isa, Mohamed Nizam. 2013. First Y-Short Tandem Repeat Categorical Dataset for Clustering Applications. Dataset Papers in Biology،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-466177
Modern Language Association (MLA)
Seman, Ali…[et al.]. First Y-Short Tandem Repeat Categorical Dataset for Clustering Applications. Dataset Papers in Biology No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-466177
American Medical Association (AMA)
Seman, Ali& Abu Bakar, Zainab& Isa, Mohamed Nizam. First Y-Short Tandem Repeat Categorical Dataset for Clustering Applications. Dataset Papers in Biology. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-466177
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466177