[PDF] Top 20 Spectral Clustering Based on Local PCA
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Spectral Clustering Based on Local PCA
... the spectral graph partitioning, Algorithm ...applying spectral graph partitioning, then a simple adaptation of arguments in (Arias-Castro, 2011) would ... See full document
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Identification of piecewise affine systems based on fuzzy PCA guided robust clustering technique
... fuzzy PCA-guided robust k-means clustering algorithm is im- plemented for feature vectors ...This clustering method uses a specific predetermined value for member- ship degree of each data point, so ... See full document
15
Multi Layers Saliency Detection Based on Spectral Density Peaks Clustering
... method, clustering had been extensively applied in image segmentation, such as K_Means, Mean_shift, k_medois and so ...those clustering methods, which will lead to discontinuous segmentations;(2) the ... See full document
9
Fast and Accurate Spectral Clustering Based KNN Similarity Graph Analysis
... Spectral clustering can be implemented efficiently even for large data sets, as long as we make sure that the similarity graph is ...in local minima or restarting the algorithm for several times with ... See full document
7
Spectral Clustering for German Verbs
... The spectral clustering algorithm takes as in- put a matrix formed from a pairwise similarity function over a set of data ...a local edge-detection al- gorithm does not place an edge between ... See full document
8
Unsupervised clustering using diffusion maps for local shape modelling
... model based on affine-invariant attribute vectors, minimisation of an energy function and ...knowledge based approach to identify and reduce the MLPV in an EM-MRF segmentation ... See full document
9
Large scale spectral clustering using diffusion coordinates on landmark based bipartite graphs
... If the random walk is moved forward for many iterations, then a diffusion process is generated on the graph G. For every integer α ≥ 1, P α is the α-step transition matrix. Different values of α integrate the ... See full document
10
Minimum spectral connectivity projection pursuit:Divisive clustering using optimal projections for spectral clustering
... projections based on the spectral clustering objective, and provide new theoretical per- spectives on the ...a local minimum, whereas existing methodology for this problem does not directly ... See full document
24
Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy
... multi-scale clustering problem, easily dropping into local ...As spectral clustering algorithm, the indexes of NRSR-SC and SC algorithm are much ...turn clustering problem into graph ... See full document
9
An Improved Spectral Clustering Algorithm Based on Local Neighbors in Kernel Space
... As mentioned above, the scale parameter of Gaussian function is very sensitive, especially in data sets with multiple scales. In order to deal with the problem, Manor et al. [13] proposed a new algorithm called ... See full document
16
Enhanced Similarity for Spectral Clustering using Local Steering Features
... of clustering, spectral clustering (SC) has become an effective tool to analyze complex non-convex data using only pairwise affinity between the data ...use local features such as color, ... See full document
5
A Study on the Impact of Ethical Behaviour of Firms on Global Competitiveness Ranking
... operator based on the texturedness of the neighbourhood at a ...a local measure of how likely two nearby pixels are to belong to the same region, we use the spectral graph theoretic framework of ... See full document
6
Evolutionary spectral co-clustering
... evolutionary clustering came into being in 2006 with the publication by Chakrabarti et ...with clustering, but not as a smoothing ...previous clustering efforts looked for information about the ... See full document
34
Microsatellite Based Genetic Structure and Differentiation of Goldfish (Carassius auratus) with Sarcoma
... a PCA based on the squared ...by PCA and STRUCTURE analysis, it indicated that there was an obvious genetic difference between RC and other five ... See full document
9
Spectral clustering for TRUS images
... background Spectral Clustering was applied for medical image seg- mentation only in one recent publication ...[28]. Spectral Clustering was applied mainly to artificial ultrasound images and ... See full document
13
Neural network-based clustering for agriculture management
... SOM clustering for LPIS assessment”, exploit how the SOM prototypes quantize the dataset by determining prototype similari- ties (such as distances, neighborhood relations, density distribution) with respect to ... See full document
13
Signals Spectral Analysis and Distortion Measurements Using an Oscilloscope, a Camera and a Pc
... signal spectral analysis of data extracted from oscilloscope pictures similar to that of figure (3-a) can be performed if one can obtain relatively clear digital pictures from the oscilloscope screen of any signal ... See full document
8
Visible-near Infrared (VIS-NIR) Spectroscopy as a Rapid Measurement Tool to Assess the Effect of Tillage on Oil Contaminated Sites
... soil spectral data set using ...samples based on hydrocarbon content and concentrations in the studied ...of PCA to separate between contaminated and non- contaminated ... See full document
9
Multi-Channel Image Denoising In Local Spectral Component Decomposition G. Shankara Bhaskara Rao
... for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. The peak signal-to-noise ratio (PSNR) is calculated for every processed channel. Based on ... See full document
8
Fuzzy Relational Spectral Clustering Method for Document Clustering
... document clustering. In the similarity based method, the average similarities is maximized within clusters and the average similarities is minimized between the ...model-based clustering, ... See full document
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