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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
16 years 26 days ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
ICASSP
2010
IEEE
15 years 7 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld
BMCBI
2008
142views more  BMCBI 2008»
15 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
WSC
2007
15 years 9 months ago
Real-time prediction in a stochastic domain via similarity-based data-mining
This paper introduces an application and a methodology to predict future states of a process under real-time requirements. The real-time functionality is achieved by creating a Ba...
Timo Steffens, Philipp Hügelmeyer
HICSS
2005
IEEE
185views Biometrics» more  HICSS 2005»
16 years 13 days ago
HEAR-SN: A New Hierarchical Energy-Aware Routing Protocol for Sensor Networks
Wireless sensor networks are becoming an integral part of numerous applications very quickly. Here, we present a new approach for sensor applications that requires coverage for a ...
Michael Hempel, Hamid Sharif, Prasad Raviraj