A Comparative Study of Clustering Algorithms for Mixed Datasets

Saad Harous; Maryam Al Harmoodi; Hessa Biri

doi:10.1109/AICAI.2019.8701347

A Comparative Study of Clustering Algorithms for Mixed Datasets

Saad Harous, Maryam Al Harmoodi, Hessa Biri

Department of Computer Science and Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Clustering groups, a set of elements in a manner that elements in the same categoryhave more common characteristics (based on a given set of attributes) among themthan to elements in other categories. Each group is called a cluster. Clustering is used in many areas: sensor networks, social networks, health, business and other applications. There are many different clustering algorithms with different parameters. The appropriate clustering algorithm and parameter settings depend on data set and the problem being solved. Some work only on numerical data and other on mixed data. Our aim is to do a comparative study of these algorithms.

Original language	English
Title of host publication	Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	484-488
Number of pages	5
ISBN (Electronic)	9781538693469
DOIs	https://doi.org/10.1109/AICAI.2019.8701347
Publication status	Published - Apr 26 2019
Event	2019 Amity International Conference on Artificial Intelligence, AICAI 2019 - Dubai, United Arab Emirates Duration: Feb 4 2019 → Feb 6 2019

Publication series

Name	Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019

Conference

Conference	2019 Amity International Conference on Artificial Intelligence, AICAI 2019
Country/Territory	United Arab Emirates
City	Dubai
Period	2/4/19 → 2/6/19

Keywords

Clustering
K Means
Mixed Data
Similarity measure.

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.1109/AICAI.2019.8701347

Cite this

Harous, S., Harmoodi, M. A., & Biri, H. (2019). A Comparative Study of Clustering Algorithms for Mixed Datasets. In Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019 (pp. 484-488). Article 8701347 (Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AICAI.2019.8701347

A Comparative Study of Clustering Algorithms for Mixed Datasets. / Harous, Saad; Harmoodi, Maryam Al; Biri, Hessa.
Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 484-488 8701347 (Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harous, S, Harmoodi, MA & Biri, H 2019, A Comparative Study of Clustering Algorithms for Mixed Datasets. in Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019., 8701347, Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, Institute of Electrical and Electronics Engineers Inc., pp. 484-488, 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, Dubai, United Arab Emirates, 2/4/19. https://doi.org/10.1109/AICAI.2019.8701347

Harous S, Harmoodi MA, Biri H. A Comparative Study of Clustering Algorithms for Mixed Datasets. In Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 484-488. 8701347. (Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019). doi: 10.1109/AICAI.2019.8701347

Harous, Saad ; Harmoodi, Maryam Al ; Biri, Hessa. / A Comparative Study of Clustering Algorithms for Mixed Datasets. Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 484-488 (Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019).

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A Comparative Study of Clustering Algorithms for Mixed Datasets

Abstract

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Keywords

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