Data clustering using a modified Kuwahara filter

Hasan Al-Marzouqi

doi:10.1109/IJCNN.2009.5178658

Data clustering using a modified Kuwahara filter

Hasan Al-Marzouqi

Electrical Engineering

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

6 Scopus citations

Abstract

In this paper we propose a new density based clustering algorithm. As with other density based clustering algorithms our approach does not require the number of clusters as input. A modification of the Kuwahara filter, used in image processing, is used to generate a special density map in which the brightness of pixels is indicative of the density of the data points. A framework for clustering is derived and its performance is demonstrated on a number of different data sets.

Original language	British English
Title of host publication	2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages	128-132
Number of pages	5
DOIs	https://doi.org/10.1109/IJCNN.2009.5178658
State	Published - 2009
Event	2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States Duration: 14 Jun 2009 → 19 Jun 2009

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2009 International Joint Conference on Neural Networks, IJCNN 2009
Country/Territory	United States
City	Atlanta, GA
Period	14/06/09 → 19/06/09

Access to Document

10.1109/IJCNN.2009.5178658

Cite this

@inproceedings{27b9f2109c2943c6b2359b04121f8af7,

title = "Data clustering using a modified Kuwahara filter",

abstract = "In this paper we propose a new density based clustering algorithm. As with other density based clustering algorithms our approach does not require the number of clusters as input. A modification of the Kuwahara filter, used in image processing, is used to generate a special density map in which the brightness of pixels is indicative of the density of the data points. A framework for clustering is derived and its performance is demonstrated on a number of different data sets.",

author = "Hasan Al-Marzouqi",

year = "2009",

doi = "10.1109/IJCNN.2009.5178658",

language = "British English",

isbn = "9781424435531",

series = "Proceedings of the International Joint Conference on Neural Networks",

pages = "128--132",

booktitle = "2009 International Joint Conference on Neural Networks, IJCNN 2009",

note = "2009 International Joint Conference on Neural Networks, IJCNN 2009 ; Conference date: 14-06-2009 Through 19-06-2009",

}

Al-Marzouqi, H 2009, Data clustering using a modified Kuwahara filter. in 2009 International Joint Conference on Neural Networks, IJCNN 2009., 5178658, Proceedings of the International Joint Conference on Neural Networks, pp. 128-132, 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, GA, United States, 14/06/09. https://doi.org/10.1109/IJCNN.2009.5178658

TY - GEN

T1 - Data clustering using a modified Kuwahara filter

AU - Al-Marzouqi, Hasan

PY - 2009

Y1 - 2009

N2 - In this paper we propose a new density based clustering algorithm. As with other density based clustering algorithms our approach does not require the number of clusters as input. A modification of the Kuwahara filter, used in image processing, is used to generate a special density map in which the brightness of pixels is indicative of the density of the data points. A framework for clustering is derived and its performance is demonstrated on a number of different data sets.

AB - In this paper we propose a new density based clustering algorithm. As with other density based clustering algorithms our approach does not require the number of clusters as input. A modification of the Kuwahara filter, used in image processing, is used to generate a special density map in which the brightness of pixels is indicative of the density of the data points. A framework for clustering is derived and its performance is demonstrated on a number of different data sets.

UR - https://www.scopus.com/pages/publications/70449408089

U2 - 10.1109/IJCNN.2009.5178658

DO - 10.1109/IJCNN.2009.5178658

M3 - Conference contribution

AN - SCOPUS:70449408089

SN - 9781424435531

T3 - Proceedings of the International Joint Conference on Neural Networks

SP - 128

EP - 132

BT - 2009 International Joint Conference on Neural Networks, IJCNN 2009

T2 - 2009 International Joint Conference on Neural Networks, IJCNN 2009

Y2 - 14 June 2009 through 19 June 2009

ER -

Data clustering using a modified Kuwahara filter

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this