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ICML
2007
IEEE
15 years 10 months ago
Learning nonparametric kernel matrices from pairwise constraints
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
DMIN
2006
151views Data Mining» more  DMIN 2006»
14 years 11 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
73
Voted
ADAC
2010
124views more  ADAC 2010»
14 years 6 months ago
Methods for merging Gaussian mixture components
The problem of merging Gaussian mixture components is discussed in situations where a Gaussian mixture is fitted but the mixture components are not separated enough from each othe...
Christian Hennig
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
15 years 3 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
87
Voted
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
15 years 4 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...