• No results found

Clustering and aggregation

Clustering, coverage and aggregation methods for large networks

Clustering, coverage and aggregation methods for large networks

... Abstract The work in this thesis presents methods for clustering and aggregation of large dynamic networked systems, typically consisting of numerous units/subsystems with complex interactions. Networked ...

139

Clustering Aggregation

Clustering Aggregation

... of clustering aggregation is that there is no need to specify the number of clusters in the ...most clustering approaches the quality (likelihood, sum of distances to cluster centers, ...final ...

27

Clustering Search applied to rank aggregation

Clustering Search applied to rank aggregation

... Abstract—Several practical applications require joining various rankings into a consensus ranking. These applica- tions include gathering the results of multiple queries in information retrieval, deciding the result of a ...

7

A clustering approach and a rule of thumb for risk aggregation

A clustering approach and a rule of thumb for risk aggregation

... a clustering procedure in order to partition a risk portfolio into independent subgroups of positively dependent ...the aggregation model used for economic capital ...

14

Document Clustering Using Semantic Cliques Aggregation

Document Clustering Using Semantic Cliques Aggregation

... documents clustering centered on the subject and contents might improve search re- ...document clustering, which uses semantic ...an aggregation algorithm. We evaluated the aggregation ...

13

Data Clustering via Dimension Reduction and Algorithm Aggregation

Data Clustering via Dimension Reduction and Algorithm Aggregation

... of aggregation iterations required can ...the aggregation results, indicating that several of the algorithms are agreeing upon the same ...same clustering after triple ...agreed-upon ...

33

Implementation of Clustering For Data Aggregation Using Evolutionary Algorithm

Implementation of Clustering For Data Aggregation Using Evolutionary Algorithm

... proposed clustering for data aggregation using evolutionary algorithm in ...the clustering process is executed using evolutionary algorithm such as Genetic Algorithm ...

5

MEECDA: Multihop Energy Efficient Clustering and Data Aggregation Protocol for HWSN

MEECDA: Multihop Energy Efficient Clustering and Data Aggregation Protocol for HWSN

... Efficient Clustering & Data Aggregation Protocol for Heterogeneous WSN) is proposed and ...and clustering for achieving the best performance in terms of network life and energy ...

8

Clustering and data aggregation scheme in underwater wireless acoustic sensor network

Clustering and data aggregation scheme in underwater wireless acoustic sensor network

... numerous clustering and data aggregation schemes are ...of clustering and data aggregation schemes are to decrease the consumption of energy and prolong the lifetime of the ...initial ...

11

Network Intrusion Alert Aggregation Based on PCA and Expectation Maximization Clustering Algorithm

Network Intrusion Alert Aggregation Based on PCA and Expectation Maximization Clustering Algorithm

... alert aggregation model based on Principal Component Analysis (PCA) coupled with unsupervised learning clustering algorithm - Expectation Maximization for Gaussian Mixture (EM_GM) to aggregate similar ...

5

A Novel and Domain-Specific Document Clustering and Topic Aggregation Toolset for a News Organisation

A Novel and Domain-Specific Document Clustering and Topic Aggregation Toolset for a News Organisation

... Document clustering techniques can help address problems of understanding the ever expanding quantities of documents available to journalists by finding patterns within ...document clustering and topic ...

126

Energy Efficient Clustering & Straddling Tree Based Data Aggregation in Wireless Sensor Network

Energy Efficient Clustering & Straddling Tree Based Data Aggregation in Wireless Sensor Network

... the Clustering for further ...constraint. Clustering has been widely used in WSNs to reduce energy consumption, which decrease the Communication load, and thereby prolong the network lifetime by minimizing ...

8

Energy Efficient Data Aggregation using Voronoi based Genetic Clustering Algorithm in WSN

Energy Efficient Data Aggregation using Voronoi based Genetic Clustering Algorithm in WSN

... data aggregation using Voronoi Based Genetic Clustering algorithm were proposed for reducing the number of transmission from Cluster member to CH ,CH to base station and to increase the WSN life ...data ...

5

SAC TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

SAC TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

... Based Clustering for Data Aggregation Using Traffic Analysis In this section, we proposed a novel secure area based clustering for data aggregation in ...Data aggregation is used for ...

18

Secure And Energy Efficient Clustering Scheme (SAEECS) with data aggregation in mobile wireless sensor networks

Secure And Energy Efficient Clustering Scheme (SAEECS) with data aggregation in mobile wireless sensor networks

... Figure 1: cluster formation 3.4 RSA encryption-decryption technique This technique provides the secure communication framework between each node. The key to encryption scheme varies as a function of residual energy of ...

6

Restart and random walk in local search for maximum vertex weight cliques with evaluations in clustering aggregation

Restart and random walk in local search for maximum vertex weight cliques with evaluations in clustering aggregation

... of clustering aggregation. Clustering is the task to partition a set of data objects into groups such that objects in the same group are similar, while objects in differ- ent groups are ...mining. ...

9

Analytical Survey on Ant and Fuzzy Clustering Based Data aggregation Techniques in Wireless Sensor Network

Analytical Survey on Ant and Fuzzy Clustering Based Data aggregation Techniques in Wireless Sensor Network

... data aggregation algorithms is to collect and aggregate data in a proficient way so that network lifetime is ...data aggregation, a more interesting approach for data collecting in shared environment and ...

6

Differential Evolution based Inter cluster Data Aggregation for Mobile Sink based Heuristic Algorithm for Clustering Hierarchy Protocol

Differential Evolution based Inter cluster Data Aggregation for Mobile Sink based Heuristic Algorithm for Clustering Hierarchy Protocol

... the clustering mechanism which is considered to be efficient in terms of energy and ...data aggregation for mobile sink based heuristic algorithm for clustering hierarchy protocol are considered and ...

6

ANOVA based Clustering Approach For Similarity Aggregation In Underwater Wireless Sensor Networks Using An Enhanced K means Algorithm

ANOVA based Clustering Approach For Similarity Aggregation In Underwater Wireless Sensor Networks Using An Enhanced K means Algorithm

... data aggregation approach called k-ways. In addition, many clustering protocols, based on the principle of this algorithm, have been developed in the two categories of Wireless Sensor Networks: homogeneous ...

7

Unsupervised Event Clustering and Aggregation from Newswire and Web Articles

Unsupervised Event Clustering and Aggregation from Newswire and Web Articles

... We propose to address the unsupervised event extraction task through two subtasks: first, un- supervised event instance extraction and second, event type extraction. This paper will focus on our efforts regarding the ...

6

Show all 10000 documents...

Related subjects