Computational-Statistics-Handbook-

MAtlab code to do depth conversion of horizons in seismic interpretation

粒子群算法程序，源代码等，希望对大家有帮助(Particle swarm algorithm, source code, etc., we hope to help)

k means clustering algorithm new 2 cluster

FCM算法。使用Matlab编写。可用于数据聚类，图像分割，统计分析等各种机器学习领域。(FCM algorithm. Write with matlab. It can be used in data clustering, image segmentation, statistical analysis and other machine learning fields.)

此文档涵盖了Matlab初学者和有一定基础的学者，在编程过程中遇到的指令方面的集合。(This document covers the Matlab have a certain foundation for beginners and scholars, in the programming process encountered in a collection of directives.)

稀疏表示正交匹配追踪算法matlab源代码(sparse representation)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)

图像特征提取 特征提取 matlab 特征提取 图像特征 (Image feature extraction feature extraction feature extraction matlab image features)

Linear regression code implementation in matlab

his is a simple method for silence removal and segmentation of audio streams that contain speech. The method is based in two simple audio features (signal energy and spectral centroid). As long as the feature sequences are extracted, as thresholding approach is applied on those sequence, in order to detect the speech segment