Spectral Clustering Trough Topological Learning for Large Datasets

Nicoleta Rogovschi; Nistor Grozavu; Lazhar Labiod

doi:10.1007/978-3-319-26535-3_25

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Spectral Clustering Trough Topological Learning for Large Datasets

Nicoleta Rogovschi Nistor Grozavu Lazhar Labiod

Year: 2015 Lecture notes in computer science Pages: 216-223 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-26535-3_25

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Keywords:

Cluster analysis Computer science Spectral clustering Correlation clustering Adjacency matrix Canopy clustering algorithm CURE data clustering algorithm Clustering high-dimensional data Artificial intelligence Pattern recognition (psychology) Data mining Topology (electrical circuits) Theoretical computer science Mathematics Graph

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Topological and Geometric Data Analysis

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Spectral Clustering Trough Topological Learning for Large Datasets

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