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JMLR
2010
211views more  JMLR 2010»
14 years 11 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 11 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
SIGKDD
2010
126views more  SIGKDD 2010»
14 years 11 months ago
MultiClust 2010: discovering, summarizing and using multiple clusterings
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy
IV
2005
IEEE
131views Visualization» more  IV 2005»
15 years 10 months ago
A Framework for Visualising Large Graphs
Visualising large graphs faces the challenges of both data complexity and visual complexity. This paper presents a framework for visualising large graphs that reduces data complex...
Wanchun Li, Seok-Hee Hong, Peter Eades
PDP
2010
IEEE
15 years 10 months ago
Load Balancing Algorithms with Partial Information Management for the DLML Library
Abstract—Load balancing algorithms are an essential component of parallel computing reducing the response time of applications. Frequently, balancing algorithms have a centralize...
Juan Santana-Santana, Miguel A. Castro-Garcí...