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» Accelerated EM-based clustering of large data sets
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BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
13 years 12 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
ICPADS
2010
IEEE
13 years 5 months ago
Data-Aware Task Scheduling on Multi-accelerator Based Platforms
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Cédric Augonnet, Jérôme Clet-O...
IJCAI
2007
13 years 9 months ago
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
Shehroz S. Khan, Shri Kant
VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 2 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
13 years 11 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren