Coarse-grain cluster analysis of tensors with application to climate biome identification
A tensor provides a concise way to codify the interdependence of complex data. Treating a tensor as a d-way array, each entry records the interaction between the different indices. Clustering provides a way to parse the complexity of the data into more readily understandable information. Clustering...
Main Authors: | Derek DeSantis, Phillip J Wolfram, Katrina Bennett, Boian Alexandrov |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2020-01-01
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Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/abb676 |
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