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» Combining Multiple Weak Clusterings
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MLMTA
2007
13 years 10 months ago
Consensus Based Ensembles of Soft Clusterings
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
Kunal Punera, Joydeep Ghosh
CONSTRAINTS
2008
95views more  CONSTRAINTS 2008»
13 years 9 months ago
Efficient Sequence Alignment with Side-Constraints by Cluster Tree Elimination
Aligning DNA and protein sequences is a core technique in molecular biology. Often, it is desirable to include partial prior knowledge and conditions in an alignment. Going beyond...
Sebastian Will, Anke Busch, Rolf Backofen
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 9 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
ISCA
1994
IEEE
104views Hardware» more  ISCA 1994»
14 years 1 months ago
Exploring the Design Space for a Shared-Cache Multiprocessor
In the near future, semiconductor technology will allow the integration of multiple processors on a chip or multichipmodule (MCM). In this paper we investigate the architecture an...
Basem A. Nayfeh, Kunle Olukotun
ICPR
2002
IEEE
14 years 10 months ago
Fast Hierarchical Clustering Based on Compressed Data
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Erendira Rendon, Ricardo Barandela