Search Results - (( based applications among algorithm ) OR ( its application clustering algorithm ))*
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications
Published 2019“…In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
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An Evolutionary Stream Clustering Technique for Outlier Detection
Published 2020“…Most of the traditional density-based clustering is not applicable in data streams due to its own characteristics. …”
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A survey: Challenges of image segmentation based fuzzy c-means clustering algorithm
Published 2024journal::journal article -
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…A modified apriori algorithm was employed to reduce the number of clusters effectively on the basis of common data in the clusters of every input to obtain a minimal set of decision rules based on datasets. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The selected methodology for the application development is based on prototyping methodology. …”
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Clustering Based Affinity Propagation In Vanets : Taxonomy And Opportunity Of Research
Published 2019“…This paper is to investigate and analyze several challenges and their present solutions which based on different developed clustering approaches based on the affinity propagation algorithm. …”
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Stability improvement low energy adaptive clustering hierarchy routing (sileach) protocol for wireless sensor network
Published 2017“…It balances the load among nodes by utilizing node residual energy and its distance to Base Station in the process of cluster head selection and utilizing node distance to Base Station during the process of Cluster formation. …”
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Stability improved of improved low energy adaptive clustering hierarchy routing protocol for wireless sensor network
Published 2017“…It balances the load among nodes by utilizing node residual energy and its distance to Base Station in the process of cluster head selection and utilizing node distance to Base Station during the process of Cluster formation. …”
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RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION
Published 2010“…This thesis proposes derivative free learning, using finite difference, methods for fixed size RBF network in comparison to gradient based learning for the application of system identification. …”
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Data clustering using the bees algorithm
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Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours
Published 2024thesis::doctoral thesis -
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Modified ACS centroid memory for data clustering
Published 2019“…A comparison of the performance of several common clustering algorithms using real-world data sets shows that the accuracy of the proposed algorithm surpasses those of its counterparts.…”
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