Clustering Spatial Data Using a Kernel-Based Algorithm
This paper presents a method for unsupervised partitioning of data using kernel methods which offer strength to deal with complex data non-linearly separable in input space. This work gets inspiration from the notion that a non-linear data transformation into some high dimensional feature space incr...
| Hoofdauteurs: | , |
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| Formaat: | Conference or Workshop Item |
| Taal: | English |
| Gepubliceerd in: |
2005
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| Onderwerpen: | |
| Online toegang: | http://eprints.utm.my/3385/1/CLUSTERING_SPATIAL_DATA_USING_A_KERNEL-BASED_ALGORITHM.pdf |