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Search results for: cluster
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Year: 2019, Volume: 19, Number: 3
... In the building data, millions of primary as SCM cluster models, as shown in Fig. 5 [ ... channel parameters are then calculated using linear regression and multipath clustering algorithm. The proposed analysis scheme is verified by ... loss, the log-normal shadowing clustered, the number of clusters is calculated as the mean of model is considered ...
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: 2019, Volume: 19, Number: 3
... each SSE of 1.3969 108. However, ALO-based 5-Parameter cluster is updated by regarding the mean value of all ... 5- parameter logistic functions were used to build the clustering method to the best hybrid power curve model power ... , RMSE of 54.60 kW and measure. Once all clusters are created, the centroid of each SSE of ...
Year: 2019, Volume: 19, Number: 3
... candidate tree clusters based on the feature data point in cluster Ctc, and the set E including the edges ... 1 Abstract — Urban trees are essential elements in outdoor clustering [10-13] have been proposed. Many studies ... feature subsets are chosen, and then the candidate tree clusters are selected via a binary classification. After distinguishing ...
Year: 2019, Volume: 19, Number: 2
... ] A. Karabiber, C. Keles, A. Kaygusuz, and B.B. Alagoz, "An approach Rosell and, A. Sumper, "Microgrid clustering architectures," Appl. for the integration of renewable distributed generation in hybrid Energy, vol. 212, pp. 340-361, 2018. doi: DC ...
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: 2019, Volume: 19, Number: 2
... simple algorithm to implement and has a good efficiency to cluster a dataset with similar For any function f belonging ... and steady regimes are used as feature input of K-means clustering algorithm, in order to classify them between healthy ... faulty conditions (1BRB). The first step in the implementation of K-means algorithm is Figure 3. Block ...
Year: 2019, Volume: 19, Number: 2
... . G. Shaik, "Recognition of power quality processing units, a parallelization of this technique is disturbances using S -transform based ruled decision tree and fuzzy C-means clustering classifiers," Appl. Soft Comput., vol. 59, pp. 243 – reached. As a consequence of the computational scheme 257, Oct ...
69. Generic Feature Selection Methodology to Named Entity Detection from Indian and European Languages
Year: 2019, Volume: 19, Number: 1
... in window of 3, 5, 7 and digit cluster head. Then allot the data point to the ... Florian et al. frequency based approach; secondly k-means++ clustering [6] achieved a highest accuracy for English ... . Raju et al. reported a NER system in clusters. In order to provide the proper lower and ...
Year: 2019, Volume: 19, Number: 1
... proved the efficiency of the proposed approach with an as vocabulary [14] and clustering leads to codebook. accuracy of 92.45 percent on the challenging dataset. Aligned ... classification. Shape contexts are split are used to evaluate the proposed scheme. Experimental clustered to describe shapes as bag of shape context that acts results proved the efficiency ...
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