当前位置:网站首页>[data clustering] realize data clustering analysis based on multiverse optimization DBSCAN with matlab code
[data clustering] realize data clustering analysis based on multiverse optimization DBSCAN with matlab code
2022-07-07 11:50:00 【Matlab scientific research studio】
1 brief introduction
in the light of DBSCAN Clustering algorithm is sensitive to parameters , Parameter selection depends on experience , In this paper, a multiverse optimization based DBSCAN clustering (MVO-DBSCAN) Algorithm .
2 Part of the code
%%% main function: The main function
clc;
clear;
close all;
tic;
% Reading data
% load('C:\Users\Administrator\Desktop\MATLAb Programming practice\MVO-DBSCAN\X.mat');
load X.mat;
% Data labels
train_labels=[];
for i=1:3
train_labels=[train_labels;i*ones(100,1)];
end
%% run MVO Algorithm
Universes_no=60; %Number of search agents (universes)
Max_iteration=500; %Maximum numbef of iterations
% Parameters to be optimized ( The universe ) Above 、 Lower bounds and dimensions
lb=0.01;
ub=0.5;
dim=1;
% Defining parameters MinPts
MinPts =4;
[Best_score,Best_pos,cg_curve]=MVO(Universes_no,Max_iteration,lb,ub,dim,MinPts,X,train_labels);
display(['The best solution obtained by MVO is : ', num2str(Best_pos)]);
display(['The best optimal value of the objective funciton found by MVO is : ', num2str(Best_score)]);
%% Run DBSCAN Clustering Algorithm
Eps=Best_pos;
labels=DBSCAN(X,Eps,MinPts);
figure;
PlotClusterinResult(X, labels);
title(['DBSCAN Clustering (\epsilon = ' num2str(Eps) ', MinPts = ' num2str(MinPts) ')']);
toc;
3 Simulation results
4 reference
[1] Wang Liyu , Sun Bin . Based on improved DBSCAN Research on cloud task scheduling strategy of clustering algorithm [C]// 2016 National communication software Academic Conference . 2016.
About bloggers : Good at intelligent optimization algorithms 、 Neural networks predict 、 signal processing 、 Cellular automata 、 The image processing 、 Path planning 、 UAV and other fields Matlab Simulation , relevant matlab Code problems can be exchanged by private letter .
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