Large-scale Spectral Clustering
Large-Scale Spectral Clustering on Graphs
... graph clustering [Shi and Malik, ...high-quality clustering results, as com- pared to standard spectral ...the clustering of nodes in the original ...supernode clustering and regular ...
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Large Scale Spectral Clustering with Landmark-Based Representation
... the spectral clustering ...approximate spectral cluster- ...binary clustering problems and should resort to a hi- erarchical scheme for multi-way ...
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Large scale spectral clustering using diffusion coordinates on landmark based bipartite graphs
... Abstract Spectral clustering has received a lot of at- tention due to its ability to separate non- convex, non-intersecting manifolds, but its high computational complexity has signifi- cantly limited its ...
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Sampling with Minimum Sum of Squared Similarities for Nystr¨om-Based Large Scale Spectral Clustering
... for large scale clustering problems, by gen- erating a low-rank matrix ...Nystr¨om-based clustering algo- rithm with a new sampling procedure, Minimum Sum of Squared Similarities ...leading ...
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Large-scale Clustering using Random Sketching and Validation
... In large social, biological networks, or networks that exhibit community structure, L is presumed to be ...tackle large-scale sparse eigenvalue problems exist ...final clustering step would ...
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Distributed approximate spectral clustering for large-scale datasets
... Clustering large datasets is an actively researched area [68] [12] ...target large-scale scalable image ...pre- clustering large ...for clustering large ...the ...
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Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks
... Kernel spectral clustering corresponds to a weighted kernel principal component analysis problem in a constrained optimization ...the large scale network in the training phase and the model ...
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Constrained spectral clustering based methodology for intentional controlled islanding of large-scale power systems
... to large-area ...constrained spectral clustering, that is computationally very efficient and determines an islanding solution with minimal power flow disruption, while ensuring that each island ...
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Eigencuts on Hadoop: Spectral Clustering for Image Segmentation at Scale
... Spectral clustering methods are useful for partitioning data which are anisotropic or otherwise generated from non-Gaussian dis- tributions, such as ...a spectral clustering algorithm that is ...
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Large-Scale High-Dimensional Clustering with Fast Sketching
... in order to get n spectral features [29] in dimension d = k = 10. Figure 4 gives the results in terms of SSE and adjusted Rand in- dex (ARI), for KM, CKM and FCKM. We also consider k-means++ (KM++) [30], and ...
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A Tutorial on Spectral Clustering
... the scale of the similarity function should be chosen such that the resulting graph has similar properties as a corresponding k-nearest neighbor or ε-neighborhood graph would ...
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Sketched sparse subspace clustering for large-scale hyperspectral images
... HSI CLUSTERING We denote by Y ∈ R B×M N the flattened 2-D matrix from the original 3-D HSI data cube with a size of M × N × B, where M and N represent the height and the width of the HSI, respectively, and B ...
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The impact of temperature fluctuations on the large scale clustering of the Lyα forest
... expected. It is also evident that patchy He II photoheating modifies the IGM temperature substantially, with fluctuations of the order of ∼ 10 4 K on scales of several hundred Mpc. Regions in the direct vicinity of the ...
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A Fast Incremental Spectral Clustering for Large Data Sets
... V. C ONCLUSIONS A fast incremental spectral clustering algorithm for large data set is proposed in this paper. It extends the NJW algorithm to handle dynamic data and incorporates a new strategy of ...
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Hermes: Clustering Users in Large-Scale Services
... To evaluate Hermes, we traced all e-mails for all employ- ees for a large international corporation for 5 months (June- October 2007). During this period, we observed 337 mil- lion e-mails for 127,871 unique users ...
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General relativistic effects in large scale galaxy clustering
... future large-volume galaxy surveys ...galaxy clustering on scales comparable with the Hubble radius. For such large scales and at high redshifts, general relativistic effects alter the observed ...
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Multivariate Clustering of Large-Scale Scientific Simulation Data
... generate large-scale data sets over the spatio-temporal ...multivariate clustering algorithm for large-scale scientific simulation data ...To scale our multivariate ...
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Large Scale Clustering with Voltaire InfiniBand HyperScale Technology
... Figure 1: Standard Clos topology Another topology practiced more rarely is Hypercube. In this topology, each node is directly connected to only a small set of neighbors. This allows users to build large clusters ...
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Metric Learning for Clustering in Streaming Large-Scale Data
... labels. Clustering is one of the most popular approaches to label-less or unsupervised learning where the goal is to group together data points (for example, images, objects, web articles etc) into meaningful ...
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Efficient Large Scale Clustering based on Data Partitioning
... very large spatial datasets presents numerous challenges such as high-dimensionality data, heterogeneity, and high com- plexity of some ...Distributed clustering techniques constitute a very good ...
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