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» Classes and clusters in data analysis
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ISPA
2004
Springer
15 years 10 months ago
HPL Performance Prevision to Intending System Improvement
HPL is a parallel Linpack benchmark package widely adopted in massive cluster system performance test. On HPL data layout among processors, a law to determine block size NB theoret...
Wenli Zhang, Mingyu Chen, Jianping Fan
FPL
2003
Springer
128views Hardware» more  FPL 2003»
15 years 9 months ago
Case Study of a Functional Genomics Application
Although microarrays are already having a tremendous impact on biomedical science, they still present great computational challenges. We examine a particular problem involving the...
Tom Van Court, Martin C. Herbordt, Richard J. Bart...
DAGM
1998
Springer
15 years 8 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
GFKL
2007
Springer
137views Data Mining» more  GFKL 2007»
15 years 8 months ago
Families of Dendrograms
A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Patrick Erik Bradley
JMM2
2006
110views more  JMM2 2006»
15 years 4 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...