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ASDC can be classified as a lossy compression method and is based on spectral clustering.
Recently, a prominent alternative class of graph embedding methods based on spectral clustering has been used [12].
Hence, by searching a classifier based on spectral clustering technique and positive definite kernels that best classified the common objects, co-segmentation was achieved.
As to the difficulty of METT in measurement partition, a novel measurement partition algorithm is proposed based on spectral clustering technique under the ET-GM-PHD framework.
Aiming at taking into account the behavior of a partitioned network under spatial and temporal variability of water demand, a design procedure is proposed, coupling a stochastic model of water demand with novel partitioning techniques, based on spectral clustering.
This paper introduces a methodology based on spectral clustering that, in contrast to existing approaches, uses the physical and inherent properties of the network to determine a suitable solution.
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We propose a centralized clustering algorithm based on spectral partitioning and a distributed implementation of the clustering method based on fuzzy C-means in cluster head selection.
In this part, we propose a centralized clustering algorithm based on spectral partitioning method to partition the network into a fixed optimal number of clusters.
All selected spectra were grouped in clusters based on spectral similarity using Pearson correlation with correlation coefficients above 0.7.
Section 4.2 presents a clustering approach based on spectral classification and the distributed implementation.
We then propose a centralized cluster algorithm based on spectral partitioning method.
More suggestions(15)
based on spectral partitioning
based on statistical clustering
based on spectral classification
based on spectral reflectance
based on spectral substraction
based on spectral decomposition
based on spectral filtering
based on supervised clustering
based on spectral envelope
based on spectral emissivity
based on spectral estimation
based on phylogenetic clustering
based on spectral representation
based on spectral characteristic
based on spectral graph
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