Power spectral clustering

DOI10.1007/s10851-020-00980-7zbMath1496.68355OpenAlexW2613153860MaRDI QIDQ2217383

Laurent Najman, Aditya Challa, Sravan Danda, B. S. Daya Sagar

Publication date: 29 December 2020

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-020-00980-7

zbMATH Keywords

image segmentationspectral clustering\(\varGamma\)-convergenceMST-based clusteringmultiscale combinatorial grouping

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10)

Related Items

Power-Spectral-Clustering

Uses Software

• SciPy
• Scikit
• MNIST
• GitHub

Cites Work

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• Hierarchical segmentations with graphs: quasi-flat zones, minimum spanning trees, and saliency maps
• An introduction to gamma-convergence for spectral clustering
• Some theoretical links between shortest path filters and minimum spanning tree filters
• Extending the Power Watershed Framework Thanks to $\Gamma$-Convergence
• Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
• The elements of statistical learning. Data mining, inference, and prediction

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