Challenges and possible solutions to density based clustering
Clustering is an interdisciplinary-studied subject of statistical data analysis. In this study, among various types of clustering algorithms, the algorithms derived from Density Based Spatial Clustering of Applications with Noise (DBSCAN) are investigated. Although DBSCAN is the well-known density-b...
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Published in | 2016 IEEE 8th International Conference on Intelligent Systems (IS) pp. 492 - 498 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2016
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/IS.2016.7737466 |
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Abstract | Clustering is an interdisciplinary-studied subject of statistical data analysis. In this study, among various types of clustering algorithms, the algorithms derived from Density Based Spatial Clustering of Applications with Noise (DBSCAN) are investigated. Although DBSCAN is the well-known density-based algorithms it has some bottlenecks. So, enhanced versions of DBSCAN are developed to provide some solutions and to ameliorate the algorithm. In this study, we provide a compact source of DBSCAN-based algorithms for the mentioned challenges. |
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AbstractList | Clustering is an interdisciplinary-studied subject of statistical data analysis. In this study, among various types of clustering algorithms, the algorithms derived from Density Based Spatial Clustering of Applications with Noise (DBSCAN) are investigated. Although DBSCAN is the well-known density-based algorithms it has some bottlenecks. So, enhanced versions of DBSCAN are developed to provide some solutions and to ameliorate the algorithm. In this study, we provide a compact source of DBSCAN-based algorithms for the mentioned challenges. |
Author | Ulutagay, Gozde Yasar, Fatma Gunseli |
Author_xml | – sequence: 1 givenname: Fatma Gunseli surname: Yasar fullname: Yasar, Fatma Gunseli email: fatma.gunseli.yasar@gmail.com organization: Dept. of Comput. Eng., Katip Celebi Univ., Izmir, Turkey – sequence: 2 givenname: Gozde surname: Ulutagay fullname: Ulutagay, Gozde email: gozde.ulutagay@izmir.edu.tr organization: Dept. of Ind. Eng., Izmir Univ., Izmir, Turkey |
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Snippet | Clustering is an interdisciplinary-studied subject of statistical data analysis. In this study, among various types of clustering algorithms, the algorithms... |
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SubjectTerms | Active-DBSCAN Algorithm design and analysis Approximation algorithms Classification algorithms clustering Clustering algorithms DBSCAN DBSCAN-GM density based clustering DMDBSCAN EDBSCAN Fast-DBSCAN FN-DBSCAN LDBSCAN Partitioning algorithms Parzen-Window Robustness Soft DBSCAN Time complexity VDBSCAN |
Title | Challenges and possible solutions to density based clustering |
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