Distributed Clustering
Privacy-preserving distributed clustering
... in clustering is to create sets of similar objects in a data ...for clustering can be owned by a single entity, or in some cases, information from different databases is pooled to enrich the data so that ...
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A hybrid energy efficient distributed clustering methodology for dense wireless sensor networks
... Local Clustering Service (FLOC) is a distributed clustering technique that produces non- overlapping clusters and around equal-sized ...achieves clustering in O(1) time irrespective of the ...
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A Competent and Empirical Model of Distributed Clustering
... Abstract: - Categorizing the different types of data over network is still an important research issue in the field of distributed clustering. There are different types of data such as news, social ...
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A Distributed Clustering Mechanism in HWSNs for Enhancing the Lifetime
... is distributed equally among the nodes and this result in considerable conservation of ...energy-efficient clustering on the joint coverage and routing ...
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An energy efficient distributed clustering algorithm for heterogeneous WSNs
... Communication is the major energy guzzler, and nodes dissipate most of their energy in routing information from sensor nodes to the BS. Instead of direct trans- mission, sensor nodes prefer to use multi-hop commu- ...
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Ensemble based Distributed K-Modes Clustering
... In distributed approach, only centers of local clusters and global clusters are to be transmitted between data ...centralized clustering needs more memory space at one place depending on the size of objects ...
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Distributed Data Clustering : A Comparative Analysis
... mining. Clustering is a task of grouping a set of objects in such a way that objects is in the same ...for distributed data ...proposed clustering algorithms, which work efficiently in the ...
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PERFORMANCE IMPROVEMENT USING CLUSTERING IN DISTRIBUTED DATABASE
... a distributed clustering algorithm which is scalable and provides cooperation while preserving a high degree of independency for each ...site. Clustering is a discipline aimed at revealing groups_ or ...
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Distributed K-Modes Clustering in P2P Networks
... existing distributed clustering algorithm, DKM along with CC, where all local datasetsare merged and clustered using K-Modes ...local clustering algorithm as K-Means and Euclidean distance for the ...
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Document Clustering In Distributed Environment
... hierarchically distributed organizations or government ...local clustering to draw conclusions from local ...hierarchically distributed P2P architecture for scalable distributed ...
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DENCAST: distributed density-based clustering for multi-target regression
... many distributed data mining algorithms have recently been ...novel distributed algorithm implemented in Apache Spark, which performs density-based clustering and exploits the identified clusters to ...
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Effects of Number of Nodes and Network Area Size Parameters on WSN Protocols Performances
... Adaptive Clustering Hierarchy (LEACH), Power Efficient Gathering in Sensor Information Systems (PEGASIS) [4], and Hybrid Energy-Efficient Distributed clustering (HEED) ...[6], Distributed ...
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Vol 5, No 1 (2013)
... [3-10]. Clustering follows some advantages like network scalability, localizing route setup within the cluster, uses communication bandwidth efficiently and makes best use of network ...Since clustering ...
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A Comparative Analysis of Hierarchical Agglomerative Clustering and Distributed HAC
... for distributed environments by improving the HAC ...bottom-up clustering approach is followed using simple six ...the distributed clustering ...The clustering dissipated energy of DHAC ...
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Comparative Study of Weighted Clustering Algorithms for Mobile Ad Hoc Networks
... weight-based distributed clustering algorithm (WCA) [4] takes into consideration, the ideal degree, transmission power, mobility, and battery power of mobile ...fully distributed approach, where all ...
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IJCSMC, Vol. 4, Issue. 5, May 2015, pg.135 – 147 RESEARCH ARTICLE An Efficient Approach Generating Optimized Clusters for Theoretic Clustering Using Data Mining
... for clustering different datasets by using different Bregman divergences (or equivalently, parametric models of different exponential ...good clustering performance, it is expected to artificially choose a ...
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Communication-Optimal Distributed Dynamic Graph Clustering
... graph clustering for two distributed communication models to reduce communica- tion ...for distributed graph clustering, and their method does not need to compute approximate effec- tive ...
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Energy Efficient Clustering Protocol for Wireless Sensor Networks using Particle Swarm Optimization Approach
... Though, CHs tolerate some additional work load contributed by their cluster members as they collect the detected information from their group member sensors, combines them and convey it to the BS. In addition, in ...
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Efficient Clustering on Big Data Map Reduce Using DBScan
... The important goal of our experiment, was to determine whether RDD-DBSCAN would scale linearly as the amount of available computing power was increased. Fig.2 confirmed that, as expected, the time taken by RDDDBSCAN ...
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Review on Clustering of Documents with Sequential Update in Distributed Environment
... M. Deodhar et al, demonstrated the problem of predicting customer behavior across products. They represented model based co-clustering/meta algorithm, to improve both cluster assignment and fit of the models. The ...
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