搜索资源列表
filters
- weka中的filter模块，包括监督学习和无监督学习(The filter module in Weka includes supervised learning and unsupervised learning)
UDP
- UDP算法是一种基于流形学习的无监督降维算法，可以用来提取特征和可视化分析。(UDP algorithm is an unsupervised dimensionality reduction algorithm based on manifold learning, which can be used to extract features and visual analysis.)
deep learning中文版
- 深度学习，中文版，这本书比较详细的讲解了深度学习相关的知识(Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Lear
kmeans&&ISODATA
- k-menas与ISODATA 非监督分类代码，希望对初学者有帮助。(K-menas and ISODATA unsupervised classification code, I hope to help beginners.)
DEEP_LEARNING
- An analysis of single-layer networks in unsupervised feature learning
2The Elements of Statistical Learning
- This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a va
Learning Deep Architectures for AI
- 一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com- plicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep archite
RSImageClassification
- VS2010，基于DIL8.2用多种分类方法实现遥感影像的监督分类和非监督分类(VS2010, a supervised classification and unsupervised classification of remote sensing images based on a variety of classification methods based on DIL8.2)
遥感数字图像处理
- 较为系统地讲述了遥感数字图像处理必备的基础知识，遥感图像预处理、增强处理、遥感图像的监督分类和非监督分类等基本理论。(The basic knowledge of remote sensing digital image processing, the basic theory of remote sensing image preprocessing, enhancement processing, supervised classification and unsupervised clas
SOM
- 自组织竞争神经网络，可以对数据进行无监督学习聚类，本质上是一种只有输入层--隐藏层的神经网络(The self-organized competitive neural network can carry out unsupervised learning clustering of data, which is essentially a neural network with only the input layer hidden layer.)
PCA-master
- PCA降维 无监督特征提取 参考文献：Paper used - http://cs229.stanford.edu/notes/cs229-notes10.pdf(PCA # PCA - Unsupervised feature extraction technique Paper used - http://cs229.stanford.edu/notes/cs229-notes10.pdf)
Thpumaeu
- This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired by the human visual(effective visual representation Specifically we use unsupervised motion-based segmentation on videos to obtain segments)
05 竞争神经网络与SOM神经网络
- 自组织神经网络概念和原理，并重点介绍一下自组织特征映射SOM网络。SOM和现在流行的ANN（MLP）模型在结构上类似，都由非常简单的神经元结构组成，但是SOM是一类“无监督学习”模型，一般的用法是将高维的input数据在低维的空间表示[1]，因此SOM天然是一种降维方法。除了降维，SOM还可以用于数据可视化，以及聚类等应用中。(The concept and principle of self-organizing neural network are introduced, and the s
test1
- SVM-无监督机器学习领域的经典算法，在神经网络未出现前，他是机器学习的顶梁柱，现在依然用处广泛，而且其核函数的使用范围早已超脱其本身，该实例对SVM算法进行了实现，具有相应的数据集。(SVM - Unsupervised machine learning in the field of classical algorithms, before the neural network does not appear, he is the mainstay of machine learning,
machine language learning(1)
- 机器学习实战中 各种常见算法 分类 回归 无监督学习 包括源代码的数据库(A variety of common algorithm classification regression unsupervised learning including source code database in machine learning)
机器学习个人笔记
- 深度学习：一种基于无监督特征学习和特征层次结构的学习方法，此笔记中指出了一些初学者容易犯的错误(Deep learning: a learning method based on unsupervised feature learning and characteristic hierarchy, which points out some mistakes that beginners can make easily.)
SOINN
- Self-Organizing Incremental Neural Network is an Neural Network model for incremental or on-line learning. It is proposed by Dr. Furao Shen and Osamu Hasegawa in 2006: Shen Furao & Osamu Hasegawa, "An
sfa_tk101.tar
- 慢特征分析 sfa matlb源程序 参考文献： Wiskott, L. and Sejnowski, T.J. (2002), "Slow Feature Analysis: Unsupervised Learning of Invariances",(Slow feature analysis SFA MATLB source program)
协同过滤算法
- 文本聚类(Text clustering)文档聚类主要是依据著名的聚类假设:同类的文档相似度较大，而不同类的文档相似度较小。作为一种无监督的机器学习方法，聚类由于不需要训练过程，以及不需要预先对文档手工标注类别，因此具有一定的灵活性和较高的自动化处理能力，已经成为对文本信息进行有效地组织、摘要和导航的重要手段，为越来越多的研究人员所关注。(Text clustering document clustering is based on the well-known clustering assum
SparseAutoencoder-master
- 自动编码器是一种数据的压缩算法，其中数据的压缩和解压缩函数是数据相关的、有损的、从样本中自动学习的。在大部分提到自动编码器的场合，压缩和解压缩的函数是通过神经网络实现的。(An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is