Sciweavers

421 search results - page 13 / 85
» A divide-and-merge methodology for clustering
Sort
View
DAC
2000
ACM
14 years 11 months ago
Symbolic timing simulation using cluster scheduling
We recently introduced symbolic timing simulation (STS) using data-dependent delays as a tool for verifying the timing of fullcustom transistor-level circuit designs, and for the ...
Clayton B. McDonald, Randal E. Bryant
ICDAR
2003
IEEE
14 years 4 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
ATAL
2006
Springer
14 years 2 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
14 years 4 months ago
A Two-Level Approach to Making Class Predictions
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...
Adrian Costea, Tomas Eklund
IPM
2006
64views more  IPM 2006»
13 years 10 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan