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Search results for: cluster
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Year: 2018, Volume: 18, Number: 2
... Langone, C. Alzate, B.D. Ketelaere, Jonas Vlasselaer, Wannes coefficients on building surfaces using artificial neural networks," Meert. "LS-SVM based spectral clustering and regression for Energy and Buildings, vol.158, pp.1429-1441, Jan. 2018. predicting maintenance of industrial machines," Engineering doi:10.1016/j.enbuild.2017.11.045 Applications ...
Year: 2018, Volume: 18, Number: 1
... of the human brain regions and tissues. For this purpose, we corr for cluster level as well as PFWE-corr, qFDR-corr, T, have extracted textural features ... for the computation of disadvantages of various techniques, in section 2. Section 3 clustering coefficient and the characteristic path length. It is provides results and discussion and ...
Year: 2018, Volume: 18, Number: 1
... heterogeneous multi-core system (IBM Cell processor), speedup of 43.8x on a 120-core cluster. On the other hand, while we target homogenous SMP systems. 29 ... graph partitioning, beside implemented heuristics. Flextream DOALL (Spec-DOALL) parallelization system for clusters. focuses on the area of streaming, whereas we target fine- Spec-DOALL ...
94. "energy management, graphical user interfaces, microgrids, renewable energy sources, SCADA systems"
Year: 2018, Volume: 18, Number: 1
... relevancy of the features ranging from 0.1 to- 28.7471. It indicates, the clustering quality of the data is 0.004 are furnished in Fig. 8. Different ... Jurek, Y. Bi, S.Wu, C. D. Nugent, "Clustering-based ensembles as motor using Hilbert and Wavelet Transform," Appl. Soft Computing ...
Year: 2018, Volume: 18, Number: 1
... . doi: Fodor, "Evolutionary optimization-based tuning of low-cost fuzzy [52] R. D. Baruah, P. Angelov, "DEC: Dynamically Evolving Clustering controllers for servo systems," Knowledge-Based Systems, vol. 38, and its application to structure identification of evolving fuzzy no. 9, pp. 74-84 ...
Year: 2018, Volume: 18, Number: 1
... 21], have been developed for the number of cluster. Each observation in the data belongs to segmentation ... TB) caused by the bacillus Mycobacterium histogram shape, clustering, entropy, object attribute-based tuberculosis is an infectious ... [18], Artificial Bee classification algorithm that forms clusters based on their Colony (ABC) [19 ...
Year: 2017, Volume: 17, Number: 4
... coordinates. accuracy by reducing the number of points where We chose to group them using a spatial multipoint object fingerprints might be similar. while the previous work uses clustering methods. In urban areas, the collected data has shown a ubiquitous By applying the first method on fingerprints collected in presence of Wi-Fi APs with more than ...
Year: 2017, Volume: 17, Number: 4
... in table 1. edge deletion operation. Moreover, cluster formation is same irrespective of the size of dataset ... 1 Abstract — Publicly accessible platform for social anonymization via clustering, graph modification approach, networking has gained special ... , the greedy graph partition of the entire dataset into clusters based on their modification approach tries to optimize data ...
Year: 2017, Volume: 17, Number: 4
... incapable of merging correct clusters, traditional approaches of computing cluster distances are because small perturbations in the data can ... , 2017 K-Linkage: A New Agglomerative Approach for Hierarchical Clustering Pelin YILDIRIM1, Derya BIRANT2 1 The Graduate School ... clustering, the strategies can remain incapable of merging correct clusters, traditional approaches of computing cluster distances are because ...
Year: 2017, Volume: 17, Number: 4
... "Wide-Area Damping Control of Power Systems [33] X-P. Zhang, C. Rehtanz, B. Pal, "Flexible AC Transmission Systems: Using Dynamic Clustering and TCSC-Based Redesigns," IEEE Modelling and Control", pp. 24, Springer Press, 2012. doi: Transactions on Smart Grid, vol. ...
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