VISUAL MACHINE LEARNING: INSIGHT THROUGH EIGENVECTORS, CHLADNI PATTERNS, AND COMMUNITY DETECTION IN 2D PARTICULATE STRUCTURES

Machine learning (ML) is quickly emerging as a powerful tool with diverse applications across an extremely broad spectrum of disciplines and commercial endeavors. Typically, ML is used as a black box that provides little illuminating rationalization of its output. In the current work, we aim to bett...

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Bibliographic Details
Main Authors:	Das, S. (Author), Gogineni, A.K (Author), Kishore, R. (Author), Nussinov, Z. (Author), Sahu, K.K (Author), Solenov, D. (Author), Swayamjyoti, S. (Author)
Format:	Article
Language:	English
Published:	Begell House Inc. 2022
Subjects:	Chladni pattern community detection Community detection Diverse applications Eigenvalues and eigenfunctions eigenvectors machine learning Machine learning Machine learning techniques Machine-learning Matrix algebra modularity Modularity network clustering Network Clustering Particulate structure Pattern detection Pattern recognition Population dynamics Potts model Quantum theory Unsupervised machine learning
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VISUAL MACHINE LEARNING: INSIGHT THROUGH EIGENVECTORS, CHLADNI PATTERNS, AND COMMUNITY DETECTION IN 2D PARTICULATE STRUCTURES

Internet

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