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» A new approach to data driven clustering
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IEEESCC
2007
IEEE
15 years 4 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 9 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 9 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 6 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 9 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&...