A proposed algorithm for clustering data based on relations among points
Joint Authors
Miftin, Firas Sabar
Nasir, Mustafa A.
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 10, Issue 1 (31 Mar. 2020), pp.27-35, 9 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper deals with automatic clustering algorithm, which partitions a many of objects to get smaller sets (clusters).
Where objects of the one set are related to each other rather than to those in the other sets.
The number of clusters in automatic clustering don’t given priori, they determinates automatically, the number resulted of clusters exact closed to the numbers of the real dataset structure.
This paper represents a stimulus for the current study to introduce an algorithm that automatically finds the number of clusters based on distance among vertices.
The study is based on the hypothesis that the proposed algorithm is able to efficiently find the clustering partitions for the whole dataset.
American Psychological Association (APA)
Nasir, Mustafa A.& Miftin, Firas Sabar. 2020. A proposed algorithm for clustering data based on relations among points. Journal of College of Education for Pure Sciences،Vol. 10, no. 1, pp.27-35.
https://search.emarefa.net/detail/BIM-1383747
Modern Language Association (MLA)
Nasir, Mustafa A.& Miftin, Firas Sabar. A proposed algorithm for clustering data based on relations among points. Journal of College of Education for Pure Sciences Vol. 10, no. 1 (Mar. 2020), pp.27-35.
https://search.emarefa.net/detail/BIM-1383747
American Medical Association (AMA)
Nasir, Mustafa A.& Miftin, Firas Sabar. A proposed algorithm for clustering data based on relations among points. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 1, pp.27-35.
https://search.emarefa.net/detail/BIM-1383747
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 33-35
Record ID
BIM-1383747