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Spectral clustering
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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 Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
12	Shiping Liu Curriculum Vitae Personal Data Date of Birth: 21 July, 1984 Place of Birth: Shandong Province, China Add to Reading List Source URL: www.maths.dur.ac.uk Language: English - Date: 2015-05-03 17:17:11 Mathematics Graph theory Mathematical analysis Riemannian geometry Spectral graph theory Cheeger constant Spectral geometry Expander graph Karl-Theodor Sturm Spectral clustering Discrete geometry Graph
13	Geometrical Segmentation of Point Cloud Data using Spectral Clustering Sergey Alexandrov and Rainer Herpers University of Applied Sciences Bonn-Rhein-Sieg 15th July Add to Reading List Source URL: www.pointclouds.org Language: English - Date: 2014-07-21 10:46:32 Algebraic graph theory Spectral clustering Image segmentation Cluster analysis Clustering
14	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 Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2012-04-22 01:00:23 Algebra Mathematics Statistics Algebraic graph theory Multivariate statistics Geostatistics Machine learning Spectral clustering Image segmentation Nonlinear dimensionality reduction Cluster analysis Diffusion map
15	Incremental spectral clustering by efficiently updating the eigen-system Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2010-07-25 04:16:40 Algebra 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
16	Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie University of Washington arXiv:1511.06335v2 [cs.LG] 24 May 2016 Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-06-23 15:15:13 Machine learning Statistics Learning Cluster analysis Data analysis Multivariate statistics K-means clustering Feature learning Spectral clustering Deep learning Pattern recognition Dimensionality reduction
17	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 Add to Reading List Source URL: www.trendminer-project.eu Language: English - Date: 2013-11-04 08:37:52 Statistics Data analysis Cluster analysis Computational statistics Data mining Geostatistics DBSCAN Spectral clustering K-means clustering Clustering Bioinformatics Consensus clustering
18	Efficient face retrieval using synecdoches Brendan F. Klare Austin Blanton Benjamin Klein Add to Reading List Source URL: openbiometrics.org Language: English - Date: 2016-08-02 16:53:35 Information science Statistics Machine learning Search algorithms Geostatistics Data mining Cluster analysis K-medoids K-means clustering Spectral clustering Kernel method Locality-sensitive hashing
19	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 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Graph theory Mathematics Algebra Algebraic graph theory Matrix theory Matrices NP-complete problems Laplacian matrix Eigenvalues and eigenvectors Regular graph Spectral clustering Graph partition