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ESA
2003
Springer
123views Algorithms» more  ESA 2003»
14 years 3 months ago
Experiments on Graph Clustering Algorithms
A promising approach to graph clustering is based on the intuitive notion of intra-cluster density vs. inter-cluster sparsity. While both formalizations and algorithms focusing on ...
Ulrik Brandes, Marco Gaertler, Dorothea Wagner
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
13 years 9 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
JMIV
2002
74views more  JMIV 2002»
13 years 9 months ago
A Filter To Remove Gaussian Noise by Clustering the Gray Scale
An algorithm to suppress Gaussian noise is presented, based on clustering (grouping) gray levels. The histogram of a window sliding across the image is divided into clusters, and t...
Zakaria Atae-Allah, José-Martínez Ar...
PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
14 years 3 months ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
MICCAI
2008
Springer
14 years 11 months ago
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves
We present a slicing-based coherence measure for clusters of DTI integral curves. For a given cluster, we probe samples from the cluster by slicing it with a plane at regularly spa...
Çagatay Demiralp, Gregory Shakhnarovich, So...