Projected Affinity Values for Nyström Spectral Clustering

Projected Affinity Values for Nyström Spectral Clustering

In kernel methods, Nyström approximation is a popular way of calculating out-of-sample extensions and can be further applied to large-scale data clustering and classification tasks. Given a new data point, Nyström employs its empirical affinity vector, k, for calculation. This vect...

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Bibliographic Details
Main Authors: Li He, Haifei Zhu, Tao Zhang, Honghong Yang, Yisheng Guan
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Entropy
Subjects:
Nyström approximation
out-of-sample
empirical affinity
machine learning
Online Access:http://www.mdpi.com/1099-4300/20/7/519

Internet

http://www.mdpi.com/1099-4300/20/7/519

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