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» Advances in constrained clustering
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CONPAR
1994
14 years 1 months ago
A Framework for Resource-Constrained Rate-Optimal Software Pipelining
The rapid advances in high-performancecomputer architectureand compilationtechniques provide both challenges and opportunitiesto exploitthe rich solution space of software pipeline...
Ramaswamy Govindarajan, Erik R. Altman, Guang R. G...
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
14 years 10 months ago
Topical query decomposition
We introduce the problem of query decomposition, where we are given a query and a document retrieval system, and we want to produce a small set of queries whose union of resulting...
Francesco Bonchi, Carlos Castillo, Debora Donato, ...
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
14 years 4 months ago
Projective Clustering Ensembles
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
GD
2005
Springer
14 years 3 months ago
C-Planarity of Extrovert Clustered Graphs
A clustered graph has its vertices grouped into clusters in a hierarchical way via subset inclusion, thereby imposing a tree structure on the clustering relationship. The c-planari...
Michael T. Goodrich, George S. Lueker, Jonathan Z....
CVPR
2008
IEEE
14 years 12 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu