- 1. Automated building damage detection on digital imagery using machine learning
- (Content №6 2023)
- ... Methodology. This article presents an approach that employs a combination of unsupervised machine learning techniques, specifically Principal Component Analysis (PCA), K-means clustering, and Density-Based ...
- Created on 23 December 2023
- 2. Improved K-means algorithm automatix acquisiotion of initial clustering center
- (Information technologies, systems analysis and administration)
- ... 1. Celebi, M.E., Kingravi, H.A. and Vela, P.A., 2013. A comparative study of efficient initialization methods for the k-means clustering algorithm. ExpertSystems with Applications, vol.40, no.1, ...
- Created on 23 June 2016
- 3. A differential clustering algorithm based on elite strategy
- (Information technologies, systems analysis and administration)
- ... Tzortzis and Aristidis Likas, 2014. The MinMax K-Means clustering algorithm. Pattern Recognition, vol.47, no.7, pp. 2505‒2516. 10. Velmurugan, T., 2014. Performance based analysis between K-means ...
- Created on 23 June 2016
- 4. RBF neural networks optimization of the control over the class of stochastic nonlinear systems with unknown parameters
- (Information technologies, systems analysis and administration)
- ... are related to the objective optimization. The research investigates combinational measures of Particle Swarm Optimization (PSO) and K-means clustering. The dynamic multi-swarm particle swarm optimization ...
- Created on 02 April 2016
- 5. Dynamic multi-swarm PSO based on К-means clustering
- (Information technologies, systems analysis and administration)
- ... applications, many problems are related to the objective optimization. The research investigates combinational measures of Particle Swarm Optimization (PSO) and K-means clustering. The dynamic multi-swarm ...
- Created on 08 February 2016