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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
JDCTA
2010
134views more  JDCTA 2010»
15 years 1 months ago
A New Clustering Segmentation Algorithm of 3D Medical Data Field Based on Data Mining
Direct 3D volume segmentation is one of the difficult and hot research fields in 3D medical data field processing. Using the clustering and analyzing techniques of data mining, a ...
Li Xinwu
TKDE
1998
134views more  TKDE 1998»
15 years 6 months ago
Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
—This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model f...
John D. N. Dionisio, Alfonso F. Cardenas
INFOCOM
2006
IEEE
16 years 14 days ago
MobiStream: Error-Resilient Video Streaming in Wireless WANs Using Virtual Channels
—We present MobiStream— a video streaming system that exploits the perceptual value in video content and the characteristics of the link layer and physical layer channels to en...
Rajiv Chakravorty, Suman Banerjee, Samrat Ganguly
BMCBI
2008
122views more  BMCBI 2008»
15 years 6 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang