First Y-Short Tandem Repeat Categorical Dataset for Clustering Applications

Joint Authors

Isa, Mohamed Nizam
Abu Bakar, Zainab
Seman, Ali

Source

Dataset Papers in Biology

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

Biology

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