[PDF] Top 20 Research on HCKM Algorithm Based on Parallel Clustering
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Research on HCKM Algorithm Based on Parallel Clustering
... process, clustering aims to divide the data objects into a number of clusters, therefore, the cluster of objects is similar to each other, while the process between dissimilar objects of clusters is an ... See full document
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Parallel Implementation of Fuzzy Clustering Algorithm Based on MapReduce Computing Model of Hadoop –A Detailed Survey
... the research on data mining and clustering algorithms based on cloud computing platform gradually becomes a hot topic of ...Future research directions include the following: Study general law ... See full document
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College Students Oriented Internet Public Opinion System
... is based on an in-memory data structure store named Redis [4]. And parallel text clustering algorithm is based on the Single-Pass clustering algorithm to generate clusters ... See full document
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PPreDeCon: A Parallel version of Preference Density Connected Clustering Algorithm
... of clustering can be improved. Accordingly, parallel clustering algorithms have been developed and implemented ...This algorithm apportions data between processors, each processor clusters ... See full document
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Parallel Algorithm for the Chameleon Clustering Algorithm using Dynamic Modeling
... paper algorithm is proposed to reduce time complexity of chameleon ...Neighboring algorithm is also optimized. Parallel merging algorithm to merge datasets based on similarity has also ... See full document
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Multi Swarm Based Ensemble Clustering
... This research paper is mainly targeted towards the Clustering Approach using the proposed Genetic Algorithm called “Multi Swarm Based Ensemble Clustering ...proposed algorithm ... See full document
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An efficient parallel algorithm for haplotype inference based on rule based approach and consensus methods.
... Two of every three SNPs involve the substitution o f C for T, and can occur in the coding (gene) and non-coding regions of the genome. Although, many SNPs have no effect on cell function, they can predispose people to a ... See full document
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Parallel Deterministic Annealing Clustering and its Application to LC MS Data Analysis
... Big data emerging from different aspects of health and “omics” profiling of biological samples in the quest to understand disease, require scalable and robust analysis. Strategies for early recognition of outbreak of an ... See full document
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Online Full Text
... the clustering method can take advantage of the multi-core processors in that programs implementing its methods may easily run on parallel ...k-means clustering were proposed by Georg Peters in 2005 ... See full document
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ISSN: 2321-8363 Impact Factor: 4.123
... Ibrahim Aljarah et al [5] proposed a parallel particle swarm optimization clustering algorithm based intrusion detection system that used MapReduce methodology. PSO was used to cluster the ... See full document
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Neural Network based LEACH Clustering Algorithm in WSN
... scheme. Clustering is the main issue in the wireless sensor network because it enhances the network ...network based clustering concept which enhances the network lifetime of the ... See full document
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Parallel Optimal Grid Clustering algorithm exploration on MapReduce Framework
... recent research [17] presents a general view of data mining algorithms and platforms that can be used in the field of Big Data by discussing different challenges and ...of clustering algorithms; hence we ... See full document
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Research on an improved parallel algorithm based on user’s requirement in cognitive radar network
... parallel algorithm as ...the parallel algorithm which make other users share the same chan- nel with the user that have the largest ...The algorithm allocates the spectrum to users ... See full document
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A Study on Clustering Algorithms for Large Datasets
... different clustering techniques in data mining. . Clustering is the one of data mining techniques in which data is divided into the groups of similar ...Data clustering is a process of putting ... See full document
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Efficient clustering of big data using graph method
... FT parallel B&B algorithm based on the Hierarchical Master paradigm in order to deal with the FT issue while ensuring scalability in large scale ...in parallel and act independently on ... See full document
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DG2CEP: a near real-time on-line algorithm for detecting spatial clusters large data streams through complex event processing
... a parallel algorithm that combines the well-known density-based clustering algorithm DBSCAN with the data stream processing paradigm Complex Event Processing (CEP) to achieve continuous ... See full document
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A Review on Clustering Analysis based on Optimization Algorithm for Datamining
... – Clustering analysis is one of the important concept of data ...the clustering problem it is one of the research based ...The clustering is belongs to the unsupervised learning in ... See full document
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Parallel Processing Of Data Mining Functions Using Clustering, Optimization And Classification Techniques
... literature based on the parallel processing of the Frequent Itemset Mining (Association Rule Mining) function is listed as follows; Hongjian Qiu et ...YAFIM algorithm. YAFIM was a parallel ... See full document
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Research of Performance of Distributed Platforms Based on Clustering Algorithm
... good clustering effect, among these algorithms K-means is most widely used and has the relatively simple idea which belongs to Partitioning ...an algorithm which is simple, fast, higher efficient for large ... See full document
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Clustering based information retrieval with the aco and the k-means clustering algorithm
... emerging research field which allows the user to retrieve the required information from the ...data clustering and the feature selection ...various research fields, such as data mining, medical image ... See full document
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