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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: 2019, Volume: 19, Number: 3
... distances (errors) between each pixel and its assigned cluster Px Any point in the [x1, x2 ... ANALYSIS (PCA) refinements by splitting and merging the clusters. The METHOD objective function to be minimized is ... the mean squared error, which is a measure of within-cluster variability given in the equation (6 ), ...
Year: 2015, Volume: 15, Number: 3
... )  b  (5) centroid of each cluster represents a visual word, while the  i ... proposed in [15] is a through an agglomerative clustering process. wearable device that detects obstacles and converts ... image patch a After the feature vectors are quantized to clusters, the fixed number of cells equal to 128 ...
Year: 2014, Volume: 14, Number: 4
... and D. Freitas, "Audio-Math: Towards Automatic clustering techniques, e.g., topic models, to ... doing this, we could build some mathematical topic based clusters and relevance ranking important lexicons. Among them, ... math-aware fine-grain search. Afterwards, it focused showed that cluster-based retrieval can perform consistently on how math search can ...
Year: 2018, Volume: 18, Number: 3
... tags belonging to the morphemes; were assigned to this cluster of words using a user interface. iv. ... data produced has exponentially segmentation module to define the topic clusters in the data increased with the digital revolution and ... their inflectional morphemes. Then these derivational; nouns were clustered via k-means algorithm and concepts iii. a set ...
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 ...
Year: 2011, Volume: 11, Number: 3
... interconnected synchronous generators having different inertia transient stability problem on Cluster of Workstations. All constants, connected with large ... Java-RMI is of the Power System Transient Stability Problem on Clusters of Workstations," Int. Conf. High ... Networking and more efficient with regard to the handling of individual Computing, Article no 34, 1995. packets ...
Year: 2014, Volume: 14, Number: 1
...  I ci  c1 wi T expresses the education cluster. This training data is later divided as T1 ... activation function. used two machine learning techniques: Bayesian clustering As a result, implementing a strict procedure is ... 3 6764.3 7253.593 489.293 that classifier models with less training clusters, but the 4 9862.8 9240.916 -621.884 1 13062.7 ...
Year: 2019, Volume: 19, Number: 2
... . In order to determine recloser power distribution systems. A performance analysis of load cluster priorities, it is proposed to consider statistical analysis balancing in distribution networks is ... Electrical and Computer Engineering Volume 19, Number 2, 2019 Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis Flávio Henrique Teles ...
Year: 2009, Volume: 9, Issue: 1
... the proposed architecture are derived for different the MNs rather than DGNs. combination of cluster size and selected number of WTIMs. However, in a wireless sensor network ... systems [1 ], [2]. However, the fact that remotely clustered Wireless Sensor Networks. Recent MIMO techniques could require complex transceiver hardware advancements allow ...
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