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» Clustering functional data with the SOM algorithm
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122
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CSDA
2006
84views more  CSDA 2006»
15 years 3 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
175
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BIBE
2008
IEEE
160views Bioinformatics» more  BIBE 2008»
15 years 10 months ago
Parallel integration of heterogeneous genome-wide data sources
— Heterogeneous genome-wide data sources capture information on various aspects of complex biological systems. For instance, transcriptome, interactome and phenome-level informat...
Derek Greene, Kenneth Bryan, Padraig Cunningham
152
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SSD
2007
Springer
131views Database» more  SSD 2007»
15 years 9 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
143
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NIPS
2001
15 years 5 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
157
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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 9 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi