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» A new approach to data driven clustering
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IEEESCC
2007
IEEE
15 years 6 months ago
Business-Activity Driven Search: Addressing the Information Needs of Services Professionals
Services business generates significant amount of human and machine created data. Search and discovery of relevant information from this data is a critical factor in enhancing wor...
Nithya Rajamani, Murthy V. Devarakonda, Yu Deng, W...
BMCBI
2008
114views more  BMCBI 2008»
14 years 12 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
PR
2006
84views more  PR 2006»
14 years 11 months ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang
SOSP
2007
ACM
15 years 8 months ago
Sinfonia: a new paradigm for building scalable distributed systems
We propose a new paradigm for building scalable distributed systems. Our approach does not require dealing with message-passing protocols—a major complication in existing distri...
Marcos Kawazoe Aguilera, Arif Merchant, Mehul A. S...
PAMI
2008
197views more  PAMI 2008»
14 years 11 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...