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Spectral clustering
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21	Multiclass Spectral Clustering Stella X. Yu Robotics Institute and CNBC Carnegie Mellon University Pittsburgh, PA Add to Reading List Source URL: www1.icsi.berkeley.edu Language: English - Date: 2012-02-17 17:43:49 Linear algebra Matrix theory Functional analysis Control theory Numerical analysis Eigenvalues and eigenvectors Spectral clustering Singular value decomposition Discretization Matrix Gaussian function KarhunenLove theorem
22	Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens van der Maaten Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Semidefinite embedding Spectral clustering Kernel principal component analysis T-distributed stochastic neighbor embedding
23	An Interactive Visual Testbed System for Dimension Reduction and Clustering of Large-scale High-dimensional Data Jaegul Choo, Hanseung Lee, Zhicheng Liu, John Stasko, and Haesun Park Georgia Institute of Technology, USA Add to Reading List Source URL: www.zcliu.org Language: English - Date: 2016-07-30 20:21:03 Visualization Multivariate statistics Dimension reduction Data Data visualization Information technology governance K-means clustering Parallel coordinates Principal component analysis Information visualization Spectral clustering Data analysis
24	Information Theoretic Clustering using Minimum Spanning Trees Andreas C. M¨ uller?1 , Sebastian Nowozin2 , and Christoph H. Lampert3 1 Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Cluster analysis Hierarchical clustering Network analysis Mutual information K-means clustering Image segmentation Pattern recognition Information bottleneck method Minimum spanning tree Spectral clustering Single-linkage clustering Determining the number of clusters in a data set
25	Unsupervised 3D Object Discovery and Categorization for Mobile Robots Jiwon Shin Rudolph Triebel Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 09:23:05 Image segmentation Cluster analysis Categorization K-means clustering Spectral clustering KadirBrady saliency detector
26	Fully Connected Object Proposals for Video Segmentation Federico Perazzi1,2 Oliver Wang2 1 ETH Zurich Add to Reading List Source URL: www.ahornung.net Language: English - Date: 2016-02-08 14:20:43 Image segmentation IEEE conferences Computer vision Background subtraction Conference on Computer Vision and Pattern Recognition Support vector machine Conditional random field GrabCut International Conference on Computer Vision Optical flow Spectral clustering Histogram of oriented gradients
27	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
28	SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Cluster analysis Spectral clustering K-means clustering Document clustering Pattern recognition Expectationmaximization algorithm Determining the number of clusters in a data set Hierarchical clustering
29	Local Spectral Diffusion for Robust Community Detection ∗ Kun He, Pan Shi Huazhong University of Add to Reading List Source URL: www.mlgworkshop.org Language: English - Date: 2016-08-14 01:22:56 Algebraic graph theory Matrices Matrix theory Markov models Networks Graph partition Laplacian matrix PageRank Community structure Spectral clustering Conductance Random walk
30	PHYSICAL REVIEW E 93, Spectral-clustering approach to Lagrangian vortex detection Alireza Hadjighasem,1,* Daniel Karrasch,1,† Hiroshi Teramoto,2,‡ and George Haller1,§ 1 Add to Reading List Source URL: georgehaller.com Language: English - Date: 2016-07-05 08:14:55

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