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hierarchical A*-based method

A New Method to Build Gene Regulation Network Based on Fuzzy Hierarchical Clustering Methods

A New Method to Build Gene Regulation Network Based on Fuzzy Hierarchical Clustering Methods

... As it can be seen, the AUPR and AUROC criteria increased in all methods. The reason for this increase is that using data clustering, many edges are deleted. Given that gene regulation network is in dispersed space in ...

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An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

... hardware. Based on the review of later works in this area, it is determined that rician denoising in wavelet domain is ...filter. Based on this estimation, a Gaussian filter designed and the output image ...

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Group Decision Making based on a New Evaluation Method and Hesitant Fuzzy Setting with an Application to an Energy Planning Problem

Group Decision Making based on a New Evaluation Method and Hesitant Fuzzy Setting with an Application to an Energy Planning Problem

... energies based on their policies and environmental ...a hierarchical complex proportional assessment (COPRAS) method to consider subjective judgments and objective opinions based on the HFS ...

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IDENTIFICATION OF HOMOGENEOUS RAINFALL STATIONS IN HARYANA

IDENTIFICATION OF HOMOGENEOUS RAINFALL STATIONS IN HARYANA

... agglomerative hierarchical clustering measures and found that Ward method based on Euclidean distance, K-means, Fuzzy were the most suitable methods in this particular ...agglomeration method, ...

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Analyzing Gene Expressions in Saccharomyces Cerevisiae using Hierarchical Clustering of DNA Microarray Data

Analyzing Gene Expressions in Saccharomyces Cerevisiae using Hierarchical Clustering of DNA Microarray Data

... Statistical method devoted to detection in DNA from microarray data, the inherent challenges in data quality associated with most filter techniques remains a challenging problem in microarray association ...

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Use of cluster analysis technique for water quality assessment in  mahitsy commune, central highland of madagascar

Use of cluster analysis technique for water quality assessment in mahitsy commune, central highland of madagascar

... the hierarchical agglomerative method grouped the fifteen sampling points into three main clusters (A, B and C) based on the similarity of the water quality ...

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A Novel Preprocessing Method for Web Usage Mining based on Hierarchical Clustering

A Novel Preprocessing Method for Web Usage Mining based on Hierarchical Clustering

... Web Usage Mining is the method of implementing data mining procedures to extract usage pattern from Web Log files data. There are three phases in Web usage mining - preprocessing, pattern discovery and pattern ...

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Sampling based Alignment and Hierarchical Sub sentential Alignment in Chinese–Japanese Translation of Patents

Sampling based Alignment and Hierarchical Sub sentential Alignment in Chinese–Japanese Translation of Patents

... ods based on the same data sets are given in Tables 5 and ...built based on GIZA++/Moses pipeline as a baseline system is given in Table ...results based on different versions of Moses, different ...

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Coarse Graining Method Based on Hierarchical Clustering on Complex Networks

Coarse Graining Method Based on Hierarchical Clustering on Complex Networks

... coarse-graining method based on hierarchical clustering (HCCG) on complex networks is ...the hierarchical clustering method, then updating the weights of edges between clusters extract ...

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Adaptive Model Reference Hierarchical Sliding Mode Control of Uncertain Underactuated Systems with Time Delay and Dead-Zone Input

Adaptive Model Reference Hierarchical Sliding Mode Control of Uncertain Underactuated Systems with Time Delay and Dead-Zone Input

... reference hierarchical sliding mode control for a class of uncertain underactuated systems with unknown dead-zone and time ...incremental hierarchical structure sliding-mode controller (IHSSMC) strategy ...

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Title: LOSSLESS COLOR IMAGE COMPRESSION BASED ON RCT AND CONTEXT ADAPTIVE CODING

Title: LOSSLESS COLOR IMAGE COMPRESSION BASED ON RCT AND CONTEXT ADAPTIVE CODING

... ABSTRACT: Compression is used to decrease the number of bits required to store and transmit images without any measurable loss of information. Lossless color image compression for an image in RGB color model is done by a ...

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Dubbing Modernization: The United States, France, and the Politics of Development in the Ivory Coast, 1946 1968

Dubbing Modernization: The United States, France, and the Politics of Development in the Ivory Coast, 1946 1968

... include hierarchical cluster analysis (Ward's method), model-based clustering of raw data, model-based clustering of the factors scores from a maximum likelihood factor analysis, model- ...

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An Experimental Survey on Single Linkage Clustering

An Experimental Survey on Single Linkage Clustering

... clustering method is an example of hierarchical agglomerative clustering which is used to merge objects in a cluster, based on minimum ...clustering method dendogram has been ...

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Overlapping Community detection Algorithms: A Review

Overlapping Community detection Algorithms: A Review

... percolation method based on k-cliques to detect the overlapping ...is based on idea of split betweeness to detect overlapping ...detects hierarchical and overlapping community structure in ...

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Simulation Analysis of OFDM System Demodulation Algorithm Based on Hierarchical Decision Feedback

Simulation Analysis of OFDM System Demodulation Algorithm Based on Hierarchical Decision Feedback

... ZF method, the proposed method with a finer delay grid enjoys superior performance in over all SNR ...the hierarchical receiver using the optimal sorting interference cancellation ...the ...

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Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

... defined hierarchical structure into classification to achieve higher generalization performance, which, otherwise, is impossible for flat classification, especially in a high-dimensional ...the hierarchical ...

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HIERARCHICAL CLUSTERING BASED MULTI-DIMENSIONAL POLYGON REDUCTION ALGORITHM FOR LARGE SPATIAL DATA

HIERARCHICAL CLUSTERING BASED MULTI-DIMENSIONAL POLYGON REDUCTION ALGORITHM FOR LARGE SPATIAL DATA

... a Hierarchical Clustering based multi dimensional polygon reduction algorithm for large spatial data sets is ...of hierarchical clustering to produce a hierarchy of clusters by considering density ...

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An online log template extraction method based on hierarchical clustering

An online log template extraction method based on hierarchical clustering

... The raw log messages record extremely rich system, network, and application running dynamic information that is a good data source for abnormal detection. Log template extraction is an important prerequisite for log ...

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A Modified Hierarchical Attribute-Based Encryption Access Control Method for Mobile Cloud Computing

A Modified Hierarchical Attribute-Based Encryption Access Control Method for Mobile Cloud Computing

... 15 | P a g e whatciphertext might be gotten with the aid of which customers.Two number one components of ABE tool are key-arrangement ABE(KP-ABE) and ciphertext-inclusion ABE (CP-ABE), thelater one is hooked up in ...

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Hierarchical Super Resolution Based Inpainting

Hierarchical Super Resolution Based Inpainting

... In Hierarchical Super-resolution method first select the area of image which has to be edited.Selected area within boundary will be filled by different colour. If image is in the form of high resolution ...

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