Spectral clustering

Results: 233



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11

Spectral clustering is a well-known way to partition a graph or network into clusters or communities with provable guarantees on the quality of the clusters. This guarantee is known as the Cheeger inequality and it holds

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Source URL: mmds-data.org

- Date: 2016-06-23 15:50:48
    12Mathematics / Graph theory / Mathematical analysis / Riemannian geometry / Spectral graph theory / Cheeger constant / Spectral geometry / Expander graph / Karl-Theodor Sturm / Spectral clustering / Discrete geometry / Graph

    Shiping Liu Curriculum Vitae Personal Data Date of Birth: 21 July, 1984 Place of Birth: Shandong Province, China

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    Source URL: www.maths.dur.ac.uk

    Language: English - Date: 2015-05-03 17:17:11
    13Algebraic graph theory / Spectral clustering / Image segmentation / Cluster analysis / Clustering

    Geometrical Segmentation of Point Cloud Data using Spectral Clustering Sergey Alexandrov and Rainer Herpers University of Applied Sciences Bonn-Rhein-Sieg 15th July

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    Source URL: www.pointclouds.org

    Language: English - Date: 2014-07-21 10:46:32
    14Algebra / Mathematics / Statistics / Algebraic graph theory / Multivariate statistics / Geostatistics / Machine learning / Spectral clustering / Image segmentation / Nonlinear dimensionality reduction / Cluster analysis / Diffusion map

    Affinity Learning via Self-diffusion for Image Segmentation and Clustering Bo Wang1 and Zhuowen Tu2,3 Department of Computer Science, University of Toronto 2 Microsoft Research Asia 3

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    Source URL: pages.ucsd.edu

    Language: English - Date: 2012-04-22 01:00:23
    15Algebra / Linear algebra / Mathematics / Numerical linear algebra / Matrix theory / Algebraic graph theory / Matrices / Spectral clustering / Eigenvalues and eigenvectors / Graph partition / Eigendecomposition of a matrix / Laplacian matrix

    Incremental spectral clustering by efficiently updating the eigen-system

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    Source URL: www.ifp.illinois.edu

    Language: English - Date: 2010-07-25 04:16:40
    16Machine learning / Statistics / Learning / Cluster analysis / Data analysis / Multivariate statistics / K-means clustering / Feature learning / Spectral clustering / Deep learning / Pattern recognition / Dimensionality reduction

    Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie University of Washington arXiv:1511.06335v2 [cs.LG] 24 May 2016

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    Source URL: ai2-website.s3.amazonaws.com

    Language: English - Date: 2016-06-23 15:15:13
    17Statistics / Data analysis / Cluster analysis / Computational statistics / Data mining / Geostatistics / DBSCAN / Spectral clustering / K-means clustering / Clustering / Bioinformatics / Consensus clustering

    FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.2.1 Clustering models for discovery of regional and demo

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    Source URL: www.trendminer-project.eu

    Language: English - Date: 2013-11-04 08:37:52
    18Information science / Statistics / Machine learning / Search algorithms / Geostatistics / Data mining / Cluster analysis / K-medoids / K-means clustering / Spectral clustering / Kernel method / Locality-sensitive hashing

    Efficient face retrieval using synecdoches Brendan F. Klare Austin Blanton Benjamin Klein

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    Source URL: openbiometrics.org

    Language: English - Date: 2016-08-02 16:53:35
    19Graph theory / Mathematics / Algebra / Algebraic graph theory / Matrix theory / Matrices / NP-complete problems / Laplacian matrix / Eigenvalues and eigenvectors / Regular graph / Spectral clustering / Graph partition

    CS168: The Modern Algorithmic Toolbox Lectures #11 and #12: Spectral Graph Theory Tim Roughgarden & Gregory Valiant∗ May 2, 2016 Spectral graph theory is the powerful and beautiful theory that arises from the following

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    Source URL: theory.stanford.edu

    Language: English - Date: 2016-06-04 09:49:43
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