K-mean-clustering

Matlab金融工具箱详细介绍，1000多页，pdf英文版。(Matlab Financial Toolbox)

说明：  集成了enframe语音的帧分段，wavread wav语音文件的读取，vad端点识别，DTW等m文件。(Integrated enframe voice frame section, wavread wav sound files to read, vad endpoint identification, DTW and other m files. )

这是一个用matlab实现的语音信号预测编码中的得宾算法部分。还有实验报告。(This is a realization of using Matlab voice signals of predictive coding algorithm part in Pennsylvania. There experimental report.)

针对20个已知类别数据，前15个训练样本和带刺的5个样本，通过该程序可识别出待测的样本属于哪一类。(Data for the 20 known types, the first 15 training samples and barbed 5 samples can be identified by the program which type of samples tested.)

SVM for Classification and Regression,其文中附有相应的网址，并可以下载SVM，结合相应的实例进行讲解(SVM for the Classification and Regression. his article with the corresponding web site and can be downloaded SVM, with the corresponding example to explain)

face reconigtion system use neural network

Locally linear embedding(LLE)是一个经典的流形学习降维方法，通过LLE发现高维数据潜在的内在维数，可以简化计算、方便可视化处理等。(Locally linear embedding (LLE) is a classic manifold learning dimensionality reduction method, discovered by LLE potential inherent high dimensional data dimension, the calculation can be simplified to facilitate visual processing.)

fire detection using neural network

This function easily plots a 2-D grid which has been generated in the computational domain and transformed to the physical domain.

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )