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170
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ICML
2009
IEEE
16 years 6 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
CSB
2005
IEEE
114views Bioinformatics» more  CSB 2005»
15 years 11 months ago
EigenPhenotypes: Towards an Algorithmic Framework for Phenotype Discovery
Studying the genetic control of molecular, anatomical and/or morphological phenotypes in model organisms is a powerful tool in the functional analysis of a gene. The goal of our r...
Alexander Vaughan, Rahul Singh, Ilmi Yoon, Megumi ...
IBPRIA
2003
Springer
15 years 10 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
271
Voted
ADMA
2010
Springer
314views Data Mining» more  ADMA 2010»
15 years 3 months ago
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering
Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number o...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
LREC
2008
129views Education» more  LREC 2008»
15 years 7 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki