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machineLearning-master
- python编写的一些机器学习算法,包含监督学习和非监督学习-Some machine learning algorithms written in python, including supervised learning and unsupervised learning
SS-US-ELM
- 最新极限学习机程序,绝对可以使用，请大家下线载-G. Huang, S. Song, J. N. D. Gupta, and C. Wu, “Semi-supervised and Unsupervised Extreme Learning Machines,” (in press) IEEE Transactions on Cybernetics, 2014.
pkupr
- 模式识别 北京大学 本科生课程 课件 （包括贝叶斯模型、最近邻、SVM、线性与非线性分类器、boosting、统计学习、非监督学习等）-Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised
SOM_NN_CODE
- An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised l
dlib-18.14.tar
- 机器学习的范畴，包括SVMs (based on libsvm), k-NN, random forests, decision trees。可以对任意的数据操作-Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature sel
Hyperspectral-Image-Classification-Through-Bilaye
- Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the n
images
- An unsupervised and robust algorithm for segmenting color images using graph theoretic concepts is proposed in this paper. A novel region growing procedure is proposed for cycle (segments) formation and cycle merging. Experiments were carried o
p--und-classifi
- probability, unsupervised classifi.
approach
- A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding to di€ erent c
Jseg图像分割
- Jseg图像分割算法 主要采用C语言， 有良好的分割处理效果 Unsupervised Segmentation of Color-Texture Regions in Images and Video
demodulation-of-MFSK-signals
- 提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．-new algorithm is proposed for elassillcation and demodulation of MFSK
twoSpk_unsupervised
- 无监督的两个说话人的语音分离程序。matlab/C混合编程，有说明文档，可直接使用，搞语音分离的可以下载看看。-Unsupervised speech separation for two speaker. Matlab/C mixed programming, there are documentation, can be used directly, and engage in voice separation can download to see.
kmeans
- kmeans均值聚类，通过一个小程序展示通过聚类进行无监督识别的方法-kmeans means clustering, showing unsupervised clustering method identified by a small program
SVDFeature
- 自己开发的一个机器学习算法，整合了监督学习，非监督学习-A machine learning algorithm own development, integration of supervised learning, unsupervised learning
UFCLS
- 实现非监督的FCLS算法进行高光谱图像端元提取-Unsupervised FCLS algorithm
chapter27
- 无导师学习神经网络的分类——矿井突水水源识别matlab程序-Categories unsupervised learning neural networks- mine water bursting source identification matlab program
Kohonen
- 自组织网络(Kohonen)特点：1)适用于超大样本的无监督分类；2)其结果常常需要与统计分析一起使用来解释分类结果；3)能够识别新类型，但功能较差。 -1) is suitable for large sample of unsupervised classification 2) the results often need to use with statistical analysis to explain the classification results 3) to ide
Mining-Weakly-Labeled-Web
- One challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propos
ANN_SOM
- 神经网络中的无监督学习中的SOM学习算法，并在MFC中以主观方式显示学习过程。-Neural network unsupervised learning of SOM learning algorithm, and in MFC in order to show the subjective learning process.
SAMunsuperviesed
- 关于支持向量机的非监督分类方法。利用波段特征度图片进行处理，并最终识别并分类图像中的物品-Unsupervised classification method on support vector machine. The use of the band characteristics of image processing, and ultimately identify and classify objects in the image