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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
16 years 6 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 6 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 6 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 8 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»
15 years 11 months 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