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Search results for: cluster
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Year: 2011, Volume: 11, Number: 1
... its use in the implementation of the category- the vocabulary from each POS. These ni words constitute based LM [15][16]. This auto clustering method aims to the rest of the vocabulary (in total N-n0). maximize the log likelihood of the training corpus. The In Section III-A, we ...
Year: 2010, Volume: 10, Issue: 4
... based on the color and shape where Ri belongs to cluster p of the vocabulary and similarities. The color ... of the term content-based image retrieval classification (using k-means clustering) and then applying a (CBIR) in ... is represented by N values set into groups (named clusters) of similar data. The {V1, ...
Year: 2010, Volume: 10, Issue: 2
... ) or, SAD (it can be connected to a database); 9 are various processes, which run on the • a mainframe can be chosen (cluster or grid), so as to same kernel (processor) or run on different implement a server of collecting the data from other processors, in the ...
Year: 2010, Volume: 10, Issue: 2
... , j ), 1) it size of a cluster is between 20 and 30. Actually, devoration ... , j) to rule (d2) uses the clustering solution computed for( x g, y g ... — This paper presents a new approach with cellular into clusters based on proximity. The clusters in different multigrid ...
Year: 2010, Volume: 10, Issue: 2
... blowing/activity/belfast2/foote.pdf III 0.63 0.28 0.68 0.95 1.58 [2] G. Cartina, G. Grigoras, E.C. Bobric, Tehnici de Clustering in I 4.90 6.08 0.10 6.18 11.08 modelarea fuzzy. Aplicatii in Electroenergetica (Clustering 4 H II 0.44 5.13 0.07 5.20 5.64 Techniques in Fuzzy Models. Power ...
Year: 2010, Volume: 10, Issue: 3
... ], an algorithm for adjusting the weights in a multilayer neural intelligent detector founded on decision making system was network. In [150], a two-stage supervised clustering-based proposed. A learning detection system was proposed in [70] neural network was developed to perform the classification which synthesize the status output of the decision rule ...
Year: 2010, Volume: 10, Issue: 3
... large numbers of basic researches, [7-11]. In (current, voltage and angles, etc.) may change significantly. combination with graph theory and cluster analysis theory, Our researches indicate that the variable with the biggest the fault analysis in complex electric power systems has coefficient in principal component usually corresponds to the ...
Year: 2010, Volume: 10, Issue: 1
... . Detecting a fault involves search, Depth-first search and cluster analysis. Then, we seek identifying a characteristic ... list) called simple artificial datasets. The most common clustering "open", and then, once examined ... are placed in the container algorithm choices are hierarchical cluster analysis. "closed" [20]. 29 ...
Year: 2010, Volume: 10, Issue: 1
... and Computer Engineering Volume 10, Number 1, 2010 Cluster Classification of Partial Discharges in Oil-impregnated Paper Insulation S.D.R ... V. PD PATTERN CLASSIFICATION E. Floating Discharge Fuzzy clustering analysis is a technique for statistical Badly earthed objects ... those The conventional experimental setup for PD measurement in other clusters. A Fuzzy C-Means Clustering (FCM) based ...
Year: 2009, Volume: 9, Issue: 3
... , respectively. Proceedings of eighth IEEE International Symposium on Cluster It means that the probabilities of occurring scheduling Computing ... comparison of Figures 5 cooperative and incentive-based federation of distributed clusters", and 7 reveals the differences between the ... scheme. new fuzzy algorithm for global job scheduling in multiclusters and Therefore, we can expect a much better ...
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