Analysis of Euclidean Distance and Manhattan Distance in the K-Means Algorithm for Variations Number of Centroid K
R. Suwanda,Z. Syahputra,E. M. Zamzami +2 more
- Vol. 1566, Iss: 1, pp 012058
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The article was published on 2020-06-01 and is currently open access. It has received 27 citations till now. The article focuses on the topics: Euclidean distance & Centroid.read more
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A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms
Niteesh Kumar,Harendra Kumar +1 more
TL;DR: In this paper , a robust clustering technique, PSO improved fuzzy c-means (PSO-FCM), is developed by the hybridization of PSO and improved FCM to deal with noisy data and initialization problem.
Journal ArticleDOI
A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification
Journal ArticleDOI
Practical Grid-Based Spatial Estimation of Number of Electric Vehicles and Public Chargers for Country-Level Planning with Utilization of GIS Data
TL;DR: In this paper , the authors proposed an approach to estimate the number of different types of electric vehicles for a vast area or an entire country, which can be divided into a large number of small areas such as a subdistrict scale.
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Book ChapterDOI
Evolutionary Improved Swarm-Based Hybrid K-Means Algorithm for Cluster Analysis
TL;DR: The hybridization of improved PSO and genetic algorithm (GA) along with K-means algorithm improves the convergence speed as well as helps to find the global optimal solution to obtain the optimal cluster center.