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Search results for: cluster
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Year: 2018, Volume: 18, Number: 4
... is the highest point on the dendrogram that represents a cluster encompassing Figure 3. Projection of the mobile edge ... wherein the higher-level objective achieved with any method for hierarchical clustering. The is minimising latency and the lower-level objective ... obtain minimum latency. On the lowest level the smallest clusters consist of all q edge servers belonging to one ...
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: 2018, Volume: 18, Number: 3
... proxy logs. Castellano, Fanelli, subscriber over time. The model proposed in this study is a Mencar, and Torsello [25] also proposed a fuzzy clustering simplified version of [6] in terms of the number of algorithm to identify the user profiles by using the web categories. The number of categories is ...
Year: 2018, Volume: 18, Number: 3
... Computer Engineering Volume 18, Number 3, 2018 on color and texture features. Particle Swarm Optimization viewpoint. These systems also suffer from i) high based k-means clustering is used to retrieve images computational complexity, ii) high false identification and effectively. iii) low accuracy. A forged image is also one form of ...
Year: 2018, Volume: 18, Number: 3
... for each standard 9 195 58 8 191 187 180 216 159 35 color pixel cluster, and central values were found for each standard color to select M standard ... the black. 8 190 87 58 224 183 163 220 176 55 A K-means clustering was performed for each standard 9 195 58 8 191 187 180 216 159 ...
Year: 2018, Volume: 18, Number: 3
... , four fractal mappings are generated, one for each cluster. The mapping sequence is built from the central ... 1 of the Hilbert Curve; ii. After the clustering, the graph of the search space for the ... partial i. The search space is composed of four clusters, solution according to the formation of the level ...
Year: 2018, Volume: 18, Number: 3
... to parallel code and expose algorithmic parallelism. Most Implementation is tested on a one-node cluster equipped programming models that have been created for writing of with four Tesla C1060 ... model was also used in this work. The name implies component LBM on multi-GPU clusters using CUDA and that the model is for two dimensions and at each lattice ...
Year: 2018, Volume: 18, Number: 2
... for a RFF Neural Network that improves the quality of cluster analysis. aims to build a predictive model. ... even mixtures of PCA [7]. Other two-level clustering: a SOM clusters [18] at the ... results. involves PCA and self-organizing map (SOM) clusters in order to produce better learner models. They ...
Year: 2018, Volume: 18, Number: 2
... the next architectures: optimization on programming language level. In addition,- The cluster (this variant is shown in the experimental it is easy to visualize two-dimensional ... kpi.ua, artem.volokita@kpi.ua 1 Abstract — In this paper we propose a new clustering space. method based on alpha-procedure that differs with proactive The feature of this ...
Year: 2018, Volume: 18, Number: 2
... , enabling high bandwidth communication for systems inside a single cluster in the NoC layer. ENoC is designed for ... shows the simulation results using real data; performance for clusters of SoCs by expanding resources Section V contains the ... work and an analysis between attaching multiple sub-NoCs. However, it requires a them and the presented architecture; ...
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