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» Analysis of Agglomerative Clustering
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128
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SAC
2004
ACM
15 years 6 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra
97
Voted
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 6 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
128
Voted
EXPCS
2007
15 years 2 months ago
Pipeline spectroscopy
Pipeline Spectroscopy is a new technique that allows us to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogram, which represents a precis...
Thomas R. Puzak, Allan Hartstein, Philip G. Emma, ...
140
Voted
COMAD
2009
15 years 2 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
149
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BMCBI
2007
130views more  BMCBI 2007»
15 years 1 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...