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ICDM
2002
IEEE
123views Data Mining» more  ICDM 2002»
15 years 9 months ago
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
Previous works on automatic query clustering most generate a flat, un-nested partition of query terms. In this work, we are pursuing to organize query terms into a hierarchical s...
Shui-Lung Chuang, Lee-Feng Chien
ITA
2006
167views Communications» more  ITA 2006»
15 years 4 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
SOCO
2008
Springer
15 years 4 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
TPDS
2008
101views more  TPDS 2008»
15 years 4 months ago
An Energy-Oriented Evaluation of Buffer Cache Algorithms Using Parallel I/O Workloads
Power consumption is an important issue for cluster supercomputers as it directly affects running cost and cooling requirements. This paper investigates the memory energy efficienc...
Jianhui Yue, Yifeng Zhu, Zhao Cai
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 1 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He