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Optica Publishing Group
  • OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED)
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper JT4A.20

Recognizing network activity based on hierarchical clustering in optical networks

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Abstract

In this work, we review one of the unsupervised clustering methods to provide low-rank parametric embeddings of network activity patterns. Since optical parameters exhibit spatial and temporal locality, this embedding based on time-series correlation coefficients of optical parameters. To this end, we use hierarchical clustering to create dendrogram representation for different network activity patterns or repeating trends.

© 2019 The Author(s)

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