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Search results for: cluster
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Year: 2011, Volume: 11, Number: 4
... covers Water algorithm is used on the basis of k-means clustering Quality and Energy Management Systems (WQEMS), ... weight. The partitioning of graph G. function ClusterSupernodes clusters super-nodes that are In the beginning of the Partitioning ... the solution S larger than the allowed partition weight – M (SN X) or 0.5M is a set ...
Year: 2011, Volume: 11, Number: 4
... back-propagation for nonlinear parameters and segmentation gives optimal segmentation intervals for least squares method for linear parameters) and Modified differently colored objects. Hence, the segmentation finally Mountain Clustering (MMC) [16] technique for initial results in as many binary images as there are objects present neuro-fuzzy classifier structure determination have been in the image ...
Year: 2011, Volume: 11, Number: 3
... to log 1+ âƒ- âƒ-. 6 Advances in Electrical and Computer Engineering Volume 11, Number 3, 2011 Notice that if the 1,< Ï› are clustered about their mean= log 1+. 1/μ we can approximate 1 1 1 (23)=. Note that under the SVA or SSVA ...
Year: 2011, Volume: 11, Number: 3
... determined. The wherein each data point belongs to a cluster to some degree centroids of classes are computed by ... , Number 3, 2011 Application of Rosette Pattern for Clustering and Determining the Number of Clusters Ali SADR, ... Keyvan MOMTAZ Electrical Engineering Department, Iran University of Science& Technology, Narmak, Tehran, Iran Sadr@ ...
Year: 2011, Volume: 11, Number: 3
... this stage was to observe relationship between excess of 5000 samples), running the classifier at this stage input data (features of the speech samples). By clustering is not computationally efficient. Moreover, input signals the pronunciations we intended to discover how closely have different lengths generating feature vectors of different related are the different ...
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 ...
177. 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) ...
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