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GLOBECOM
2007
IEEE
14 years 2 months ago
Resource Efficient Survivable Clustering for Wireless Sensor Networks
Abstract-- In this paper, we address both lifetime and survivability issues in wireless sensor networks (WSNs). We present an easy-to-implement clustering method called DED (distri...
Mohammad Masud Hasan, Jason P. Jue
TKDE
2008
148views more  TKDE 2008»
13 years 10 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
AAAI
2012
12 years 24 days ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
EVOW
2005
Springer
14 years 4 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
BMCBI
2005
198views more  BMCBI 2005»
13 years 10 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....