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Search results for: cluster
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Year: 2011, Volume: 11, Number: 3
... , codebook can be obtained by GLA. Using the cluster centers where q>1 is an integer, ... Number 3, 2011 Codebook Generation Using Partition and Agglomerative Clustering Chih-Tang CHANG1, Jim Z.C. LAI2, Mu-Der ... depends on the directly to divide training vectors into M clusters, our proposed initial codebook. With a good ...
182. Wireless Meter Reading Based Energy-Balanced Steady Clustering Routing Algorithm for Sensor Networks
Year: 2011, Volume: 11, Number: 2
... mechanism, the power-constrained data-gathering sensor networks, and current cluster head nodes determine cluster head nodes for next round ... , 2011 Wireless Meter Reading Based Energy- Balanced Steady Clustering Routing Algorithm for Sensor Networks Yong TIAN1,2 ... community as a fundamentally NP-hard. The central node determines clusters by solving new tool for a wide range of ...
Year: 2011, Volume: 11, Number: 2
... , 2011 an open queueing network model, the queueing network public nodes as the cluster 1 and cluster 2, and packets are model for wireless sensor nodes is ... nodes (through where packets arrive in the (c) A WSN with multiple clusters. network) and leaving nodes (through where packets leave the network) ...
Year: 2011, Volume: 11, Number: 2
... one based on Kirchhoff's laws is presented in [7]. errors. A coherent method of evaluating vulnerability is to So, in a topological approach, the clusters formation, known quantify this attribute in terms of the scale-free graph theory. as percolation, is the main event in the random (or One way of ...
Year: 2011, Volume: 11, Number: 1
... harmonic distortion (THDI) number of PCs in a cluster is growing. It has been explained dependence on ... invariant xCN. Different cases have been There are different clustering techniques applied for discussed for a single PC operation ... fact that they are usually concentrated in large groups (clusters). current total harmonic distortion (THDI) ...
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 ...
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