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ECSQARU
1997
Springer
15 years 3 months ago
Creating Prototypes for Fast Classification in Dempster-Shafer Clustering
We develop a classification method for incoming pieces of evidence in Dempster-Shafer theory. This methodology is based on previous work with clustering and specification of origin...
Johan Schubert
ICMLA
2004
15 years 1 months ago
RAIN: data clustering using randomized interactions between data points
Abstract-- This paper introduces a generalization of the Gravitational Clustering Algorithm proposed by Gomez et all in [1]. First, it is extended in such a way that not only the G...
Jonatan Gómez, Olfa Nasraoui, Elizabeth Leo...
CSDA
2008
91views more  CSDA 2008»
14 years 12 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...
ICPR
2004
IEEE
16 years 29 days ago
Feature Selection and Gene Clustering from Gene Expression Data
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
D. Dutta Majumder, Pabitra Mitra
ICASSP
2009
IEEE
15 years 6 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Tse-Wei Chen, Shao-Yi Chien