MomentsHu

说明：  数据挖掘聚类算法 (Data Mining Clustering Algorithm)

CodeProject网站上下载的关于matlab与C#,MATLAB与VC混合编程的资料，很全(CodeProject web site to download on matlab and C#, MATLAB and VC mixed programming information, it is all)

该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型 用粒子群算法优化模型中的三个主要参数：C1、C2、sigma(The file is in particle swarm optimization parameters of support vector machine model matlab code for support vector machine model designed for use with unbalanced data, cost control, support vector machine model using particle swarm optimization model of the three main parameters: C1, C2, sigma)

基于EM算法实现的高斯混合模型数据分类，可以很优秀的对各种数据进行聚类分析，R语言实现(EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language)

在约束感兴趣频带的条件下，运用二阶锥规划方法设计二维FIR滤波器，(Designs an 2-D FIR filter with given desired frequency response H_des(w1,w2) using SOCP)

智能天线技术，采用SMI算法，波束形成方向的，matlab源码(Smart antenna technology, using SMI algorithm, beamforming direction, matlab source code)

本程序是采用压缩感知算法进行OFDM信道估计的基本程序(OFDM OMP)

说明：  选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)

MATLAB工具箱详细介绍，做开发时必备的参考资料(matlab toolbox)

提取数据波形时域特征（绝对幅值、平均值、峭度、过零点）并且用LDA分类(Time-domain waveform data extraction features (absolute amplitude, mean, kurtosis, zero crossing) and classification with LDA)