Knowledge Discovery & Web Mining Lab, University of Louisville

NSF CAREER: New Clustering Algorithms Based on Robust Estimation and Genetic Niches

with Applications to Web Usage Mining

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This project is supported by National Science Foundation under grant NSF IIS-0533317

Synthetic data set 1 used in robust clustering

Data set	# of Clusters	Size (# of points)	Noise (%)
Three_Close_Clust.txt	3	811	0%
Three_Close_Clust_nois_pt005.txt	3	1157	30%
Three_Close_Clust_nois_pt01.txt	3	1458	44%
Three_Close_Clust_nois_pt02.txt	3	2106	61%
Five_Clust.txt	5	1972	0%
Five_Clust_nois_pt005.txt	5	2308	15%
Five_Clust_nois_pt01.txt	5	2602	24%
Five_Clust_nois_pt02.txt	5	3230	39%
Six_Clust.txt	6	2530	0%
Six_Clust_nois_pt005.txt	6	2865	12%
Six_Clust_nois_pt01.txt	6	3156	20%
Six_Clust_nois_pt02.txt	6	3780	33%

        Download all synthetic data set 1 [ZIP]

       Synthetic data set 2

Collection of synthetic two-dimensional data sets with Gaussian clusters, and three different levels of noise (0%, 10% and 20%). The clusters were generated varying sizes and densities.

Data set	# of Clusters	Size (# of points)	Noise (%)
cluster-2-0.txt	2	1600	0
cluster-2-1.txt	2	1777	10
cluster-2-2.txt	2	2000	20
cluster-5-0.txt	5	3360	0
cluster-5-1.txt	5	3733	10
cluster-5-2.txt	5	4200	20
cluster-10-0.txt	10	6400	0
cluster-10-1.txt	10	7111	10
cluster-10-2.txt	10	8000	20
cluster-15-0.txt	15	8460	0
cluster-15-1.txt	15	9400	10
cluster-15-2.txt	15	10575	20

Download all synthetic data set 2 [ZIP]

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