▍1. SSTCA
半监督迁移SSTCA算法实现,matlab代码。包括拉普拉斯图矩阵(Semisupervised Domain Adaptation via Transfer Component Analysis)
胡清华邻域粗糙集源码,matlab源代码,方便可用(Hu Qinghua neighborhood rough sets source code, matlab source code, easy to use)
主要针对行为识别,常用数据处理方法及分类,可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)
波形设计算法,阵列信号处理等相关知识的介绍仿真等(Introduction and Simulation of waveform design algorithm, array signal processing and other related knowledge)
说明: 波形设计算法,阵列信号处理等相关知识的介绍仿真等(Introduction and Simulation of waveform design algorithm, array signal processing and other related knowledge)
数据挖掘,推荐系统,堆叠降噪自编码器,逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
CHKS光滑孪生支持向量机程序, 采用CHKS光滑函数逼近无约束孪生支持向量机的不可微部分,得到一类光滑的孪生支持向量机。(CHKS smooth twin support vector machine program)
ap聚类算法实现三维数据点的分类,demo为案例(AP clustering algorithm realizes the classification of data points, demo as a case.)
通过包围盒法和K-D树法实现电云数据的邻域收索,邻域值可以自动设置(Point cloud data by bounding boxes and K-D tree search method income neighborhood, neighborhood values can be automatically set)
说明: 利用K均值聚类对鸢尾花样本进行聚类的matlab程序,包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results)
一种特征提取方法:结合主元分析(PCA)和核主元分析(KPCA)的前馈神经网络(FNN)(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))
说明: 用来作分类识别的KNN算法,非常好用非常好用(A very useful nearest neighbor algorithm)
说明: 一种信号的处理方法,用于非平稳的信号处理(A signal processing method for nonstationary signal processing)
该程序用于分类,用到的算法是Bagging and Knn 两种算法(This program is used for classification, the algorithm used is bagging and knn two algorithms)
用于信号特征提取,提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
聚类评价指标的各种说明,非常详细,请仔细阅读。(Cluster evaluation indicators of various descriptions, very detailed.)