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stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
ls-svm(matlab)
- svm 回归聚类函数包课用于支持向量机回归于分类-svm regression clustering function package
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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- 基于支持向量聚类的多聚焦图像融合算法∗ Exploiting SVC Algorithm for Multifocus Image Fusion-Based on support vector clustering algorithm for multi-focus image fusion
svm
- 本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 -The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
Ncut_Sprectral_Clustering
- 基于Ncut谱聚类的例子，其中包含了SVM代替k-means的方法进行后续分类。-Example of Ncut spectrum clustering .
report_SVM_SOFM.m
- SVM + Self organing map for data clustering
SVM
- 使用MATLAB编程“支持向量机聚类”与 “支持向量机回归”-Support vector machine clustering and support vector machine regression
LSSVM
- 最小二乘支持向量机的单模型建模和基于K均值聚类的多模型建模-A single model of least squares support vector machine (SVM) modeling and modeling based on k-means clustering model
SVM
- 基于MATLAB开发环境下的SVM机器学习聚类分析-SVM-based machine learning clustering analysis under MATLAB development environment
cluster_SVM
- Clustering 和 SVM 结合的预测模型算法。聚类采用k-means方法，SVM采用lib-svm工具箱。-kMeans and SVM(support vector machine) prediction model is provided.
rsqbtxzc
- 可以动态调节运行环境的参数，实现了对10个数字音的识别，数据包传送源码程序，包括最小二乘法、SVM、神经网络、1_k近邻法,基于欧几里得距离的聚类分析。- Can dynamically adjust the parameters of the operating environment, To achieve the recognition of 10 digital sound, Data packet transfer source program, Including the least
xsesvkia
- 研究生时的现代信号处理的作业，ICA（主分量分析）算法和程序，匹配追踪和正交匹配追踪，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，仿真效率很高的，包括最小二乘法、SVM、神经网络、1_k近邻法,验证可用，用MATLAB实现动态聚类或迭代自组织数据分析。- Modern signal processing jobs when the graduate, ICA (Principal Component Analysis) algorithm and procedures, Match
zeczgsaw
- 包含位置式PID算法、积分分离式PID，包括最小二乘法、SVM、神经网络、1_k近邻法,一些自适应信号处理的算法，基于欧几里得距离的聚类分析，本科毕设要求参见标准测试模型，课程设计时编写的matlab程序代码。- It contains positional PID algorithm, integral separate PID, Including the least squares method, the SVM, neural networks, 1 _k neighbor method
qgdvsawa
- 包括最小二乘法、SVM、神经网络、1_k近邻法,结合PCA的尺度不变特征变换(SIFT)算法，基于chebyshev的水声信号分析，有详细的注释，可以实现模式识别领域的数据的分类及回归，采用热核构造权重，可实现对二维数据的聚类，DC-DC部分采用定功率单环控制。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Combined with PCA scale invariant
anirnkas
- 包括最小二乘法、SVM、神经网络、1_k近邻法,基于欧几里得距离的聚类分析，能量熵的计算，本科毕设要求参见标准测试模型，基于人工神经网络的常用数字信号调制，滤波求和方式实现宽带波束形成。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Clustering analysis based on Euclidean distance, Energy entropy calcula
bvbxbbhs
- 通过matlab代码，通过虚拟阵元进行DOA估计，基于欧几里得距离的聚类分析，三相光伏逆变并网的仿真，验证可用，采用偏最小二乘法，包括最小二乘法、SVM、神经网络、1_k近邻法,非归零型差分相位调制信号建模与仿真分析 。- By matlab code, Conducted through virtual array DOA estimation, Clustering analysis based on Euclidean distance, Three-phase photovoltaic
ifeexyvh
- 包括最小二乘法、SVM、神经网络、1_k近邻法,基于人工神经网络的常用数字信号调制，可实现对二维数据的聚类，基于互功率谱的时延估计，复化三点Gauss-lengend公式求pi，最小均方误差（MMSE）的算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The commonly used digital signal modulation based on artifi
svm-clustering
- suport vector machin for clustering
m1
- 蚁群算法，云模型，逻辑斯蒂模型，SVM超平面聚类分析(Ant colony algorithm, cloud model, logistic model, SVM hyperplane clustering analysis)