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ICAISC
2010
Springer
15 years 9 months ago
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data
This paper presents a new implementation of the co-VAT algorithm. We assume we have an m × n matrix D, where the elements of D are pair-wise dissimilarities between m row objects ...
Timothy C. Havens, James C. Bezdek, James M. Kelle...
166
Voted
PAMI
2006
134views more  PAMI 2006»
15 years 4 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
AI
2005
Springer
15 years 10 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
154
Voted
EUSFLAT
2009
207views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
New Fuzzy Color Clustering Algorithm Based on hsl Similarity
In this paper, one presents a fuzzy color clustering algorithm that is based on a new measure of similarity. This new measure of color similarity is defined on a perceptual color s...
Vasile Patrascu
IPL
2007
95views more  IPL 2007»
15 years 4 months ago
Optimal implementations of UPGMA and other common clustering algorithms
In this work we consider hierarchical clustering algorithms, such as UPGMA, which follow the closest-pair joining scheme. We survey optimal O(n2)-time implementations of such algo...
Ilan Gronau, Shlomo Moran