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PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
15 years 10 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...
IJON
2008
173views more  IJON 2008»
15 years 4 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
CVPR
2006
IEEE
16 years 6 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
ISCIS
2005
Springer
15 years 10 months ago
Recursive Lists of Clusters: A Dynamic Data Structure for Range Queries in Metric Spaces
We introduce a novel data structure for solving the range query problem in generic metric spaces. It can be seen as a dynamic version of the List of Clusters data structure of Ch´...
Margarida Mamede
176
Voted
WOB
2004
233views Bioinformatics» more  WOB 2004»
15 years 6 months ago
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
George Barreto Bezerra, Geraldo M. A. Cança...