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efficient clustering

An Energy Efficient Clustering Algorithm Based on Queue for MANET

An Energy Efficient Clustering Algorithm Based on Queue for MANET

... energy efficient clustering algorithm that forms structured clusters using max-heap ...the clustering process, the energy of each node of cluster is calculated, and an index number is assigned to ...

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An Efficient Clustering for Crime Analysis

An Efficient Clustering for Crime Analysis

... an efficient clustering for the algorithm to cluster the data points as well provides interactive results and interactive interface for the user to make crime analysis of the criminal activities dataset, In ...

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ENHANCED DISTRIBUTED ENERGY EFFICIENT CLUSTERING PROTOCOL

ENHANCED DISTRIBUTED ENERGY EFFICIENT CLUSTERING PROTOCOL

... The clustering mechanism is the best and most efficient one to resolve the issue with the requirement of energy in ...In clustering the network is divided into smaller clusters and each cluster ...

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The Efficient Clustering algorithms for Data Mining : A Review

The Efficient Clustering algorithms for Data Mining : A Review

... Late techniques and tools that have been developed and adopted to keep up in an arms race with malware authors who have resorted to the utilization of evasive techniques to avoid examination amid investigation is an ...

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Efficient clustering of big data using graph method

Efficient clustering of big data using graph method

... Iteration Clustering (PIC) algorithm is recently identified algorithm which helps to create a good quality of ...explore efficient data transmission methods, following the work by Hsu et ...

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An efficient clustering approach in MANET

An efficient clustering approach in MANET

... Rekha Basavraju, et a l [10] p roposed an enhanced geographical based minima l gateway selection method to improve connectivity in MANET. In MANET enabling efficient co mmunicat ion a mong different do mains is a ...

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Recent Trends in Energy efficient Clustering in WSNs

Recent Trends in Energy efficient Clustering in WSNs

... Many clustering and power management protocols have been specifically designed for WSN to reduce energy ...basic clustering protocols. In this paper, a survey of the recent clustering protocols in ...

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Energy Efficient Clustering using MMHC (Modified Multi Hop Clustering)

Energy Efficient Clustering using MMHC (Modified Multi Hop Clustering)

... existing system and our proposed model i.e. MMHC (Modified Multi-Hop Clustering).When the graph is observed we see that in case of 500 nodes the energy require is 30.534 joule whereas proposed model requires ...

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Efficient Clustering Technique for Information Retrieval in Data Mining

Efficient Clustering Technique for Information Retrieval in Data Mining

... document clustering, or text clustering, can be defined as a process of organizing pieces of textual information into groups whose members are similar in some way, and groups as a whole are dissimilar to ...

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Dynamic WSN Using Efficient Clustering and Secure Routing

Dynamic WSN Using Efficient Clustering and Secure Routing

... Ample of asymmetric and symmetric encryption techniques for instance ECC, Attribute based encryption and Identity based encryption have been proposed to increase the security level for WSNs. As the application security ...

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An efficient clustering algorithm for class based language models

An efficient clustering algorithm for class based language models

... a clustering algorithm for it, which we evaluated through experiments on a disambiguation task of Japanese dependency ...Our clustering algorithm was much more efficient than the existing method that ...

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An efficient clustering algorithm in the presence on outlier and doubtful data

An efficient clustering algorithm in the presence on outlier and doubtful data

... Kaufman and Rousseeuw (1990) introduced Partition Around Medoid (PAM), using k-clustering on medoids to identify clusters. PAM works efficiently on small data set. TCLUST used the mean of discriminant while PAM ...

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Efficient Clustering Technique for Information Retrieval in Data Mining

Efficient Clustering Technique for Information Retrieval in Data Mining

... document clustering, or text clustering, can be defined as a process of organizing pieces of textual information into groups whose members are similar in some way, and groups as a whole are dissimilar to ...

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Efficient clustering of big data streams

Efficient clustering of big data streams

... k-center clustering approach: SenClu that incrementally groups the data locally on each sensor node and computes its k ...the clustering quality by using a novel light-weighted decay- ing technique to give ...

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Efficient Clustering for Gene Expression Data

Efficient Clustering for Gene Expression Data

... Wai-Ho Au et al. [12] have proposed an attribute clustering method which was able to group genes based on their interdependence in order to mine meaningful patterns from the gene expression data. Their method ...

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An Efficient Clustering Technique For Weblogs

An Efficient Clustering Technique For Weblogs

... first clustering algorithm is the heuristic ...original clustering centre then chooses the next centre as the data point furthest (according to the distance metric) from the first ...

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An Efficient Text Clustering Framework

An Efficient Text Clustering Framework

... clearly efficient to implement (only three simple-logic loops fully clustered the data, each loop involving a few expressions and assignment ...and efficient clustering ...and efficient ...

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An Efficient Algorithm for Document Clustering in Information Retrieval

An Efficient Algorithm for Document Clustering in Information Retrieval

... Document clustering is an essential process used in information retrieval, unsupervised document organization and automatic topic ...enhanced clustering algorithm for document ...DBSCAN clustering ...

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An efficient robust hyperheuristic clustering algorithm

An efficient robust hyperheuristic clustering algorithm

... Generally, data clustering techniques have been used when large data need to be stored. Cluster analysis can be divided into partitional or hierarchical clustering. This study focused on partitional cluster ...

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