Clustering Time Series Data Using Kohonen Self-organizing Map (KSOM) for Classification of Sewage Treatment Plant Operations
Kohonen Self Organizing Map (SOM) is an unsupervised neural network that can create a low-dimensional representation of the high-dimensional input data, allowing for visual analysis and interpretation of the clusters. In the context of time series data, SOMs can be used to identify patterns and simi...
| Published in: | Lecture Notes in Networks and Systems |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211360182&doi=10.1007%2f978-3-031-70687-5_18&partnerID=40&md5=f83f8668ef1b98d67ca048411eb7f335 |