A Simple Yet Effective Data Clustering Algorithm

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http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.9

Sixth IEEE International Conference o ...

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	Soujanya Vadapalli, Satyanarayana R. Valluri, Kamalakar Karlapalem, "A Simple Yet Effective Data Clustering Algorithm," Data Mining, IEEE International Conference on, pp. 1108-1112, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDM.2006.9, author = {Soujanya Vadapalli and Satyanarayana R. Valluri and Kamalakar Karlapalem}, title = {A Simple Yet Effective Data Clustering Algorithm}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2006}, issn = {1550-4786}, pages = {1108-1112}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.9}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - A Simple Yet Effective Data Clustering Algorithm SN - 1550-4786 SP1108 EP1112 A1 - Soujanya Vadapalli, A1 - Satyanarayana R. Valluri, A1 - Kamalakar Karlapalem, PY - 2006 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Soujanya Vadapalli, IIIT, India

Satyanarayana R. Valluri, IIIT, India

Kamalakar Karlapalem, IIIT, India

In this paper, we use a simple concept based on k-reverse nearest neighbor digraphs, to develop a framework RECORD for clustering and outlier detection. We developed three algorithms - (i) RECORD algorithm (requires one parameter), (ii) Agglomerative RECORD algorithm (no parameters required) and (iii) Stability-based RECORD algorithm( no parameters required). Our experimental results with published datasets, synthetic and real-life datasets show that RECORD not only handles noisy data, but also identifies the relevant clusters. Our results are as good as (if not better than) the results got from other algorithms.

Citation:

Soujanya Vadapalli, Satyanarayana R. Valluri, Kamalakar Karlapalem, "A Simple Yet Effective Data Clustering Algorithm," icdm, pp.1108-1112, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006

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