【数据聚类】基于matlab密度的聚类算法DBSCAN数据聚类分析【含Matlab源码 3524期】.zip

% Please note that these codes have been taken from: %http://playmedusa.com/blog/roulette-wheel-selection-algorithm-in-matlab-2/ %_______________________________________________________________________________________% % Multi-Verse Optimizer (MVO) source codes demo version 1.0 % % % % Developed in MATLAB R2011b(7.13) % % % % Author and programmer: Seyedali Mirjalili % % % % e-Mail: ali.mirjalili@gmail.com % % seyedali.mirjalili@griffithuni.edu.au % % % % Homepage: http://www.alimirjalili.com % % % % Main paper: % % % % S. Mirjalili, S. M. Mirjalili, A. Hatamlou % % Multi-Verse Optimizer: a nature-inspired algorithm for global optimization % % Neural Computing and Applications, in press,2015, % % DOI: http://dx.doi.org/10.1007/s00521-015-1870-7 % % % %_______________________________________________________________________________________% % --------------------------------------------------------- % Roulette Wheel Selection Algorithm. A set of weights % represents the probability of selection of each % individual in a group of choices. It returns the index % of the chosen individual. % Usage example: % fortune_wheel ([1 5 3 15 8 1]) % most probable result is 4 (weights 15) % --------------------------------------------------------- function choice = RouletteWheelSelection(weights) accumulation = cumsum(weights); p = rand() * accumulation(end); chosen_index = -1; for index = 1 : length(accumulation) if (accumulation(index) > p) chosen_index = index; break; end end choice = chosen_index;