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» Non-parametric Mixture Models for Clustering
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ICASSP
2010
IEEE
14 years 12 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
EVOW
2008
Springer
15 years 1 months ago
Detection of Quantitative Trait Associated Genes Using Cluster Analysis
Abstract. Many efforts have been involved in association study of quantitative phenotypes and expressed genes. The key issue is how to efficiently identify phenotype-associated gen...
Zhenyu Jia, Sha Tang, Dan Mercola, Shizhong Xu
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 5 days ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
ICASSP
2009
IEEE
15 years 6 months ago
Dynamic texture models of music
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to t...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
SIGIR
2002
ACM
14 years 11 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu