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Search results for: cluster
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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 ā€” 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. ...
Year: 2017, Volume: 17, Number: 4
... machines in a the overload of any resource. From the aspect of which computer cluster. The CNs are dedicated to running available information is used for workload distribution ... and transmission networks," IEEE Transactions on Power and load balancing algorithm for heterogeneous clusters," The Journal Systems, vol. 3, no. 2, ...
Year: 2017, Volume: 17, Number: 4
... objective of k-means algorithm is represented by clusters. A cluster contains dataset records that have minimizing the intra-cluster variance ... , Number 4, 2017 Centroid Update Approach to K-Means Clustering Ioan-Daniel BORLEA, Radu-Emil PRECUP, Florin DRAGAN, ... I. INTRODUCTION learning algorithm that divides a dataset in clusters and it is Data mining is a domain that ...
Year: 2017, Volume: 17, Number: 3
... /j.inffus.2010.11.005 variation super-resolution with spatial information filtering and [31] B. Setiyono, M. Hariadi, M. H. Purnomo, "Survey of super-resolution clustering," IEEE Trans. Image Process., vol. 22, no. 6, pp. 2327 ā€“ using phased based image matching," Journal ...
Year: 2017, Volume: 17, Number: 3
... method to nest. This parasite behavior provided Yang and Deb [4] the clustering problem successfully [15]. Another algorithm inspiration for CS algorithm. which ... objects like stars, galaxies convergence characteristic in most of the test case. and superclusters of galaxies. Both of the algorithms are population based algorithms. C. ...
100. Vacancy Induced Energy Band Gap Changes of Semiconducting Zigzag Single Walled Carbon Nanotubes
Year: 2017, Volume: 17, Number: 3
... of the whole system is obtained. The simulations are realized in a Linux High Performance Each sub system is defined by local base functions instead Computing (HPC) cluster which has "star" network of atomic orbitals. Secular equation of subsystems is written topology. as; II.4. IDENTIFYING VACANCY DEFORMATIONS H ļ” Ciļ” ļ€½ ...
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