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» Distributed Data Clustering Can Be Efficient and Exact
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SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 8 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
16 years 2 days ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
EVOW
2008
Springer
15 years 8 months ago
Detection of Quantitative Trait Associated Genes Using Cluster Analysis
Abstract. Many efforts have been involved in association study of quantitative phenotypes and expressed genes. The key issue is how to efficiently identify phenotype-associated gen...
Zhenyu Jia, Sha Tang, Dan Mercola, Shizhong Xu
HPCS
2006
IEEE
16 years 23 days ago
Collaborative Agents for Data Dissemination in Wireless Sensor Networks
This paper presents collaborative agents system architecture approach for data dissemination in a wireless sensor network (WSN). This system architecture consists of four layers o...
Sajid Hussain, Elhadi Shakshuki, Abdul Wasey Matin...
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 6 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...