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clustering scheme

An enhanced low overhead and stable clustering scheme for crossroads in VANETs

An enhanced low overhead and stable clustering scheme for crossroads in VANETs

... the clustering-based communication in VANETs, the goal of designed rules in clustering algo- rithms is to achieve stable, easy, quick, and efficient com- munication with necessary QoS ...effective ...

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Universal and Dynamic Clustering Scheme for Energy Constrained Cooperative Wireless Sensor Networks

Universal and Dynamic Clustering Scheme for Energy Constrained Cooperative Wireless Sensor Networks

... Dynamic clustering is generally considered as one of the energy conservation techniques; but unbalanced distribution of cluster heads, highly variable number of sensor nodes in the clusters and high number of ...

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Enhanced Network Life using Four-Level Heterogeneous Clustering Scheme

Enhanced Network Life using Four-Level Heterogeneous Clustering Scheme

... cluster scheme where cluster head is selected in distributed ...The scheme is effective in increasing life time of network in comparison to ...hop clustering scheme which minimize energy usage ...

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Cancer data partitioning with data structure and difficulty independent clustering scheme

Cancer data partitioning with data structure and difficulty independent clustering scheme

... Semi-Supervised Clustering Ensemble approaches have been successfully applied to different areas, such as data mining, bioinformatics and so ...semi-supervised clustering ensemble approach achieves good ...

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Sequential Multi Task Spectral Clustering Scheme with Active Learning paradigm

Sequential Multi Task Spectral Clustering Scheme with Active Learning paradigm

... The definition of clustering could be “the process of organizing objects into groups whose members are similar in some way”. A Cluster is therefore a collection of objects which are “similar” between them and are ...

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Phrase based Clustering Scheme of Suffix Tree Document Clustering Model

Phrase based Clustering Scheme of Suffix Tree Document Clustering Model

... As mentioned previously, most clustering algorithms treat a document as a set of words. STDC identifies common phrases in the documents and uses them as the basis for clustering. This can improve the ...

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Reconfiguration time and complexity minimized trust based clustering scheme for MANETs

Reconfiguration time and complexity minimized trust based clustering scheme for MANETs

... tation scheme is presented in [12, 13], which does not consider conflicting recommendation ...(CGTrust) scheme is proposed with the objective to minimize the computa- tional complexity and reconfiguration ...

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Systematic Component Clustering Scheme for Collective Objects through Micro   Clusters

Systematic Component Clustering Scheme for Collective Objects through Micro Clusters

... "Troublesome Clustering" and show that it accomplishes preferred to compose exactnesses over the best performing highlight determination strategy, exceptionally while preparing data is scanty and show ...

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A Power Controlled Energy efficient Clustering Scheme for Heterogeneous Wireless Sensor Networks

A Power Controlled Energy efficient Clustering Scheme for Heterogeneous Wireless Sensor Networks

... Topology control is one of the most important technologies in wireless sensor networks. Many applications, combined with the methods of power control and hierarchical topology control strategy, can ultimately achieve the ...

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Enhanced Unequal Clustering Scheme for Wireless Sensor Networks

Enhanced Unequal Clustering Scheme for Wireless Sensor Networks

... Wireless sensor networks consists of a large number of small size sensor nodes which form an ad-hoc distributed network and able to communicate unlethered within a short distance. The sensor nodes have stringent power ...

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Bounded Diameter Clustering Scheme For Protein Interaction Networks

Bounded Diameter Clustering Scheme For Protein Interaction Networks

... Abstract —Dense subgraphs of Protein-Protein In- teraction (PPI) graphs are assumed to be potential functional modules and play an important role in inferring the functional behavior of proteins. PPI graphs are known to ...

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An Adaptive Clustering Scheme for Mobile Ad Hoc Networks

An Adaptive Clustering Scheme for Mobile Ad Hoc Networks

... With clustering providing some significant benefits, a new problem arises when we try to come up with simple but proficient algorithms to divide nodes into ...of clustering algorithms, each considers one or ...

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Analysis of Routing Protocols for Wireless Sensor Networks

Analysis of Routing Protocols for Wireless Sensor Networks

... nodes. Clustering mechanism is one of the popular WSNs routing ...different clustering scheme against modeled constraints, three cluster based routing protocols are selected; Low Energy Adaptive ...

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Learning by Unsupervised Nonlinear Diffusion

Learning by Unsupervised Nonlinear Diffusion

... LUND clustering scheme is proposed and shown to enjoy performance guarantees for clustering of certain non-parametric mixture ...LUND scheme and algorithm on synthetic data, studying the ...

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1.
													Performance analysis of cluster based routing scheme in wireless sensor network

1. Performance analysis of cluster based routing scheme in wireless sensor network

... routing scheme for sensor network Low Energy Adaptive Clustering hierarchy (LEACH) and Location Aware Cluster Based Routing Protocol (LACBRP) based on the performance matrices like Energy Values, Latency ...

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Graph-based clustering for identifying region of interest in eye tracker data analysis

Graph-based clustering for identifying region of interest in eye tracker data analysis

... use clustering to group these fixation points from all fixation areas into spatial regions, identified as ...Various clustering approaches have been used to detect ROI, such as k-means and distance ...

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Improved pattern extraction scheme for clustering multidimensional data

Improved pattern extraction scheme for clustering multidimensional data

... several clustering techniques have been introduced and applied to the multidimensional data, such as k-means (Anderson, 2009; Golob and Recker, 2004; Shekhar et ...hierarchical clustering (Skyving et ...for ...

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E-BEENISH: Enhanced Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol For WSNAbhijit Singh, Shashi B. Rana

E-BEENISH: Enhanced Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol For WSNAbhijit Singh, Shashi B. Rana

... energy. The authors supposed that all the nodes of the WSN contain different amount of energy, which is a source of heterogeneity. DEEC is LEACH based algorithm thus it expands the life time of network by rotating the ...

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METHODS FOR SEGMENTATION OF IVUS ATHEROSCLEROSIS IMAGES

METHODS FOR SEGMENTATION OF IVUS ATHEROSCLEROSIS IMAGES

... bad clustering of noisy pixels of white region. This clustering drawback is essentially due to the only utilization of the intrinsic feature of pixel to be classified (gray level) without take into account ...

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Title: A Clustering Framework based Multiple Partitioning Data Gathering Scheme for WSAN

Title: A Clustering Framework based Multiple Partitioning Data Gathering Scheme for WSAN

... a clustering framework based multiple partitioning data gathering scheme is proposed ...gathering scheme is demonstrated through the simulation ...

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