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GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
14 years 3 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
Marek Lipczak, Evangelos E. Milios
ICASSP
2010
IEEE
13 years 9 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
ENGL
2007
191views more  ENGL 2007»
13 years 9 months ago
Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS
— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automati...
Juan E. Moreno, Oscar Castillo, Juan R. Castro, Lu...
GEOINFO
2003
13 years 10 months ago
An Early Warning System for Space-Time Cluster Detection
A new topic of great relevance and concern has been the design of efficient early warning systems to detect as soon as possible the emergence of spatial clusters. In particular, m...
Renato M. Assunção, Andréa Ia...
ASPLOS
2009
ACM
14 years 1 months ago
Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications
As our society becomes more information-driven, we have begun to amass data at an astounding and accelerating rate. At the same time, power concerns have made it difficult to brin...
Adrian M. Caulfield, Laura M. Grupp, Steven Swanso...