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ICMLA
2004
15 years 7 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...
BMCBI
2010
151views more  BMCBI 2010»
15 years 6 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
TCBB
2010
136views more  TCBB 2010»
15 years 4 months ago
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
— The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses ...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
FCCM
2000
IEEE
162views VLSI» more  FCCM 2000»
15 years 11 months ago
StReAm: Object-Oriented Programming of Stream Architectures Using PAM-Blox
Simplifying the programming models is paramount to the success of reconfigurable computing. We apply the principles of object-oriented programming to the design of stream archite...
Oskar Mencer, Heiko Hübert, Martin Morf, Mich...
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 6 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman