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ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
14 years 3 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
AINA
2004
IEEE
14 years 1 months ago
An Efficient Clustered Architecture for P2P Networks
Peer-to-peer (P2P) computing offers many attractive features, such as self-organization, load-balancing, availability, fault tolerance, and anonymity. However, it also faces some ...
Juan Li, Son T. Vuong
BMCBI
2008
132views more  BMCBI 2008»
13 years 10 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
BMCBI
2007
207views more  BMCBI 2007»
13 years 10 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
BMCBI
2010
102views more  BMCBI 2010»
13 years 10 months ago
Alignment and clustering of phylogenetic markers - implications for microbial diversity studies
Background: Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step ...
James Robert White, Saket Navlakha, Niranjan Nagar...