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PCA(test)
- 完整的PCA 人脸识别的应用包括几个步骤：人脸图像预处理；读入人脸库，训练形成 特征子空间；把训练图像和测试图像投影到上一步骤中得到的子空间上；选择一定 的距离函数进行识别-We present an approach to the detection and identification of human faces and describe a working, near-real-time face recognition system which tracks a s
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
DSEBS_pub
- 基于图支配集的高光谱图像波段选择算法，论文见于IEEE TGRS 2016.-Unsupervised Hyperspectral Band Selection by Dominant Set Extraction, IEEE TGRS, 2016.
RBF-Kernel
- RBF-kernel unsupervised classification
ExerciseSelf-Taught-Learning
- Soft-taught leaning是用的无监督学习来学习到特征提取的参数，然后用有监督学习来训练分类器.-Soft-taught leaning unsupervised learning is to learn the parameters of feature extraction, followed by supervised learning to train the classifier.
kmeans
- k-means is a algorithm for make unsupervised learning, which use a vector, value k for create the clustering
ulnnc
- 无导师学习神经网络的分类，程序很全，有实例可以在直接运行-Unsupervised learning neural network classification, the program is full, there are instances can be run directly
EM_GMM-master
- 基于matlab下的无监督数据的实现，通过极大似然估计和贝叶斯估计-Implementation of unsupervised data based on MATLAB, by using the maximum likelihood estimation and Bias estimation
class_doit_unsupervised
- 遥感影像非监督分类程序，IDL调用ENVI库函数实现非监督分类。-Unsupervised classification of remote sensing images, IDL calls ENVI library functions to achieve unsupervised classification.
ENVI-IDL
- ENVI二次开发常用功能代码，包括大气校正、定标、分类(监督+非监督)、裁剪、镶嵌等-ENVI secondary development commonly used function codes, including atmospheric calibration, calibration, classification (supervision+ unsupervised), cutting, mosaic, etc.
ImageClassification-master
- 在这个项目中，我们的目标是建立一个识别和大小231x231图像呈现对象分类系统。我们得到了一组训练图像，每四个标签之一：1飞机；汽车2；3马，否则。我们提供了两个特点：一是方向梯度直方图（HOG），其尺寸为5408；另一个是overfeat ImageNet美国有线电视新闻网的特点，其尺寸37000。关于测试图像，我们只给出了每个图像的功能，没有标签，结果判断由平地机。我们的目标是提供二进制和多个预测。平衡错误率（BER）是我们的性能评估。为了解决这个问题，我们首先减少PCA的问题的维数，处理不
phd2.ZIP
- it is about unsupervised learning using fuzzy logic
FCM
- 用于数据聚类，无监督学习，可以直接使用，望大家指导批评(For data clustering, unsupervised learning)
kmeans
- 基于k均值的无监督聚类算法，输出有各个样本的类别标签，目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据，点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
alex_net
- deep learning for unsupervised learning
SOM11766142016
- A self-organizing map (SOM) or self-organising feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the inp
fuzzy c-means
- 基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function
ObjectDiscovery-0.1
- code for Unsupervised Joint Object Discovery and Segmentation in Internet Images
非监督分类
- 遥感影像非监督分类各种模型的Matlab源代码。(Remote sensing image unsupervised classification of various models of Matlab source code.)
4-ijisae.267490-234095
- Comparison of the effect of unsupervised and supervised discretization methods on classification process