Search Results - subject:"K‐means clustering"

A High Performance Model for Task Allocation in Distributed Computing System Using K-Means Clustering Technique

Kumar, Harendra; Chauhan, Nutan Kumari; Yadav, Pradeep Kumar - In: International Journal of Distributed Systems and … 9 (2018) 3, pp. 1-23

' clusters of set of ‘m' tasks by using k-means clustering technique. To use the k-means clustering techniques, the inter …

Persistent link: https://www.econbiz.de/10012044198

Interactive Colorization via Multi-Cues Manipulation

Shi, Xiaohong; Yang, Xue; Su, Zhuo - In: International Journal of Grid and High Performance … 10 (2018) 2, pp. 47-58

Colorization plays an important role in image processing, which aims to change the original image color according to specific image color characteristics. In this article, the authors present a regional color editing method based on multi-cues manipulation, including interactive segmentation,...

Persistent link: https://www.econbiz.de/10012045073

Quantum-Behaved Particle Swarm Optimization Based Radial Basis Function Network for Classification of Clinical Datasets

Leema, N.; Nehemiah, H. Khanna; Kannan, A. - In: International Journal of Operations Research and … 9 (2018) 2, pp. 32-52

function neural network (RBFNN). For training the RBFNN K-means clustering algorithm and quantum-behaved particle swarm … optimization (QPSO) algorithm has been used. The K-means clustering algorithm is used to find the optimal number of clusters which …

Persistent link: https://www.econbiz.de/10012046948

A cluster first-route second approach for a capacitated vehicle routing problem : a case study

Comert, Serap Ercan; Yazgan, Harun Resit; Kır, Sena; … - In: International journal of procurement management 11 (2018) 4, pp. 399-419

Persistent link: https://www.econbiz.de/10011966109

Implementing data clustering to determine the capital allocation for micro, small, and medium-sized enterprises (MSMEs)

Hidayah, Amelia - In: ASEAN marketing journal : Association of Southeast … 10 (2018) 1, pp. 66-74

Persistent link: https://www.econbiz.de/10012106920

Business process modeling abstraction based on semi-supervised clustering analysis

Wang, Nan; Sun, Shanwu; Ouyang, Dantong - In: Business & information systems engineering : BISE ; the … 60 (2018) 6, pp. 525-542

Persistent link: https://www.econbiz.de/10011960819

Multi-objective optimisation for the vehicle routing problem using metaheuristics

Rajak, Sonu; Parthiban, P.; Dhanalakshmi, R.; Sujith, S. - In: International journal of enterprise network management 9 (2018) 2, pp. 117-128

Persistent link: https://www.econbiz.de/10011961496

"Take photos to make money" APP's task pricing

Huang, Yong-Qi; Du, Ying-Yu; Yao, Can-Xu; Zhang, Yuan-Biao - In: International journal of economics and finance 10 (2018) 12, pp. 127-134

Persistent link: https://www.econbiz.de/10011961544

Pseudo basic stepsbound improvement guarantees from Lagrangian decomposition in convex disjunctive programming

Papageorgiou, Dimitri J.; Trespalacios, Francisco - In: EURO journal on computational optimization 6 (2018) 1, pp. 55-83

Persistent link: https://www.econbiz.de/10011964473

Feature Selection of Interval Valued Data Through Interval K-Means Clustering

Guru, D. S.; Kumar, N. Vinay; Suhil, Mahamad - In: International Journal of Computer Vision and Image … 7 (2017) 2, pp. 64-80

valued features. For clustering, the kernel of the K-means clustering has been altered to operate on interval valued data …This paper introduces a novel feature selection model for supervised interval valued data based on interval K-Means … clustering. The proposed model explores two kinds of feature selection through feature clustering viz., class independent feature …

Persistent link: https://www.econbiz.de/10012043830