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» Exact Algorithms for Cluster Editing: Evaluation and Experim...
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112
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CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Sparse Subspace Clustering
We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our ...
Ehsan Elhamifar, René Vidal
78
Voted
ICIP
2009
IEEE
16 years 2 months ago
Effective Initialization Of K-means For Color Quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...
PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
15 years 7 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...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 8 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
227
Voted
VLDB
2006
ACM
190views Database» more  VLDB 2006»
16 years 2 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu