Finding spatio-temporal patterns in climate data using clustering
This paper presents a method for unsupervised partitioning of data for finding spatio-temporal patterns in climate 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 transfo...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://eprints.utm.my/7574/1/Sap_M_N_Md_2005_Finding_Spatio-Temporal_Patterns_Climate.pdf |