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SIAMSC
2008
159views more  SIAMSC 2008»
15 years 6 months ago
Hierarchical Clustering of Massive, High Dimensional Data Sets by Exploiting Ultrametric Embedding
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
Fionn Murtagh, Geoff Downs, Pedro Contreras
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 11 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 7 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
ICML
2007
IEEE
16 years 7 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin
IWPSE
2007
IEEE
16 years 12 days ago
Modification analysis support at the requirements level
Modification analysis is part of most maintenance processes and includes among other activities, early prediction of potential change impacts, feasibility studies, cost estimation...
Maryam Shiri, Jameleddine Hassine, Juergen Rilling