Constrained spectral clustering via multi–layer graph embeddings on a grassmann manifold
We present two algorithms in which constrained spectral clustering is implemented as unconstrained spectral clustering on a multi-layer graph where constraints are represented as graph layers. By using the Nystrom approximation in one of the algorithms, we obtain time and memory complexities which a...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2019-03-01
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Series: | International Journal of Applied Mathematics and Computer Science |
Subjects: | |
Online Access: | https://doi.org/10.2478/amcs-2019-0010 |