WignerVille

这是一个聚类程序，基于lab空间的k均值聚类程序(this is a program of k mean method,based in the lab space.)

介绍了蒙特卡罗(Monte Carlo) 方法,即随机模拟方法,提出了任意分布随机数的产生原理 及方法,并用算例说明蒙特卡罗方法的使用过程,同时用χ2 拟和优度法验证了其合理性. 关键(Montcarlo simulation)

说明：  克里格法（Kriging，KRG）是由法国统计学家 Matheron 于 1963 年提出的，为纪念南非金矿工程师 Krige（Krige, 1951）曾于 1951 年使用回归方法对空间场进行预测的开创性研究，Matheron 将该方法命名为 Kriging，最开始该方法常被用于对矿产储量分布情况进行预（Matheron, 1963）。目前该方法作为最常用的空间插值算法，被广泛应用于地理科学、环境科学、大气科学等研究中。(Kriging (KRG) method was proposed by Matheron, a French statistician, in 1963. In order to commemorate the pioneering research of Krige (1951), a gold mine Engineer in South Africa, who used regression method to predict the spatial field in 1951, Matheron named this method Kriging. At first, this method was often used to predict the distribution of mineral reserves (Matheron, 1963) . At present, as the most commonly used spatial interpolation algorithm, this method is widely used in geographical science, environmental science, atmospheric science and other research.)

利用matlab估计系统模型，matlab的系统辨识工具箱中提供了大量与辨识有关的函数，(system identification tooibox)

图象直方图及均衡，用matlab实现了图像的直方图算法，以及均衡算法。(Image histogram equalization, using matlab image histogram algorithm, as well as balancing algorithm.)

EM algorithm for k multidimensional Gaussian mixture estimation

这是从点S到T找寻最短路径的Dijkstra算法(Find shortest path from point S to piont T for positive weight matrix W by Dijkstra method. This is the fastest routine.)

这是一个医学图像重建程序，用的是滤波反投影算法。(Medical Image Reconstruction using Filtered Back Projection. Matlab code (GUI)+ 4 Sinograms for testing/demonstrations. Can be used as a laboration to compare different numbers of projections, filters and interpolation methods.)

Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering

应用切片理论计算船舶水动力系数，以一条船分为20站为例进行计算(Application slice theoretical calculations ship hydrodynamic coefficients to a boat into 20 stations as an example calculation)