搜索资源列表
AL-MULTICLASS
- Documentation for active learning and Semi supervised Learning two important machine learning algorithm
2SPCA
- 对图像做spca有监督的主成分分析降维，并投影回图像来降噪，在本程序中，使用正弦函数控制图像变化，函数值作为监督信息-Image do spca supervised principal component analysis dimension reduction, noise reduction and projected back images
3SMD
- 对图像做spca有监督的主成分分析降维，并通过RBF神经网络学习得到一个模型，并投影到原图来降噪-supervised manifold learning
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
mix_pixel_extraction
- 混合像元提取算法，采用的为线性分解模型，输入文件为ndvi图像及监督和非监督分类图像-Mixed pixel extraction algorithm, using linear decomposition model input file ndvi images and supervised and unsupervised classification image
SDA
- 半监督降维算法，半监督判别分析，本人亲测有效 -Semi-supervised dimensionality reduction algorithm, semi-supervised discriminant analysis, I pro-test valid
SELF
- 半监督降维的算法，类别标号类信息，线性降维算法-Semi-supervised dimensionality reduction algorithm, the category label such information, the linear dimension reduction algorithm
LSDR
- 半监督降维算法，局部敏感判别分析，亲测有效，直接从作者主页下载-Semi-supervised dimensionality reduction algorithm, local sensitive discriminant analysis, effective pro-test, direct download the author' s home
LFDA
- 局部线性判别分析 用于半监督降维 下载于作者主页-Local Linear discriminant analysis for semi-supervised dimensionality reduction downloaded the author' s home
deepshiMLprojct
- Efficient performance analysis of various supervised and usupervised methods for classsification
envi
- ENVI二次开发 ENVI启动 ENVI关闭 大气校正 融合 镶嵌 裁剪 监督分类+非监督分类 特征提取-ENVI secondary development ENVI start ENVI Atmospheric Correction fusion mosaic close cropped supervised classification+ unsupervised classification feature extraction
K-means
- 通过非监督分类中的K-均值聚类对Indian pines高光谱图像进行分类-Classification of hyperspectral images of pines Indian by K-means of non supervised classification
class_min_distance
- 遥感原理与运用，遥感原理运用中的最小距离原理的监督分类-Principles and use of remote sensing, remote sensing application of the principle of the minimum distance principle supervised classification
statistical-learning-methods-
- 经典的书，李航讲的统计学习方法，里面主要涉及监督学习方法，感知机、K邻近法、决策树、支持向量机等-Classic book, statistical learning methods Li Hang speak, which is mainly involved in supervised learning method, Perceptron, K neighboring France, decision trees, support vector machine
simcapred
- SIMCA方法是建立在主成分分析基础上的一种有监督模式识别方法。该算法的基本思路是对训练集中每一类样本的光谱矩阵分别进行主成分分析，建立每一类的主成分分析数学模型，然后在此基础上对未知样本进行识别，即分别试探该未知样本与各类模型进行拟合，以确定其属于哪一类或不属于任何一类。-SIMCA method is based on principal component analysis of a supervised pattern recognition method.The basic idea
vector-svm-algorithm
- 支持向量机（SVM）是与相关的学习算法有关的监督学习模型，可以分析数据，识别模式，用于分类和回归分析。-Support Vector Machine (SVM) is associated with learning algorithm related supervised learning model, you can analyze data, identify patterns, used for classification and regression analysis.
ksh_code
- 核化监督哈希,尽量不要让站长把时间都花费在为您修正说明上。压缩包解压时不能有密码。-supervised hash with kernel
DNN_toolbox
- 语音分离用的深度神经网络工具箱，matlab，非常全 -This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).
shenjingwangluo
- 基于有导师学习神经网络对近红外光谱的汽油辛烷值预测拟合-Based on supervised learning neural network on Near Infrared Spectroscopy Gasoline Octane forecast Fitting
SDA
- mablab代码,半监督判别分析的实现代码。-Mablab code, semi supervised discriminant analysis code.