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» Improving Cluster Method Quality by Validity Indices
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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 7 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 4 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
IDA
2003
Springer
15 years 11 months ago
Obtaining Quality Microarray Data via Image Reconstruction
Abstract. This paper introduces a novel method for processing spotted microarray images, inspired from image reconstruction. Instead of the usual approach that focuses on the signa...
Paul O'Neill, George D. Magoulas, Xiaohui Liu
ISMIS
2009
Springer
16 years 17 days ago
Fuzzy Clustering for Categorical Spaces
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
PROCEDIA
2010
67views more  PROCEDIA 2010»
15 years 4 months ago
Using the feasible set method for rezoning in ALE
One of the steps in the Arbitrary Lagrangian Eulerian (ALE) algorithm is the improvement of the quality of the computational mesh. This step, commonly referred to as rezoning, is ...
Markus Berndt, Milan Kucharik, Mikhail J. Shashkov