Codes

说明：  matlab,编写的LVQ1数据挖掘分类算法。 (Matlab, prepared by the Data Mining LVQ1 classification algorithm.)

Bee colony optimization continuous

CA方法在MATLAB中的实现，介绍了一些基本的元胞自动机方法，并给出了源程序。(The CA method implemented in MATLAB basic cellular automata method, and given the source code.)

差速轮式机器人轨迹跟踪，轨迹包括直线，圆，八字形。算法基于李雅普诺夫稳定判定。(Differential wheeled robot trajectory tracking, track, including lines, circles, figure eight. Algorithm based on Lyapunov stability determination.)

This is function matlab provides, bio-medical function. files include: allCode.m breastcancer.mat flicker.mat medfiles.mat myfit.m plotcluster.m sulfate.mat

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

structure to store a complex number (consisting of real and complex part) and features addition, multiplication, and outs of complex numbers.

基于Matlab编程的指纹识别代码中的细化部分代码(Matlab-based fingerprint identification code programmed in the refinement part of the code)

matlab实现的LDA分类模型,可以直接调用(matlab lda for classifiy)

Random Tour for TSP with Node Insertion MATLAB