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Clustering interval data through kernel-induced feature space

โœ Scribed by Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza


Book ID
118801003
Publisher
Springer US
Year
2012
Tongue
English
Weight
880 KB
Volume
40
Category
Article
ISSN
0925-9902

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By using a kernel function, data that are not easily separable in the original space can be clustered into homogeneous groups in the implicitly transformed high-dimensional feature space. Kernel k-means algorithms have recently been shown to perform better than conventional k-means algorithms in uns