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ICA_demo_text
- ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical
K均值聚类
- 非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
JAVAclustering
- JAVA 本程序所实现的功能为对数据进行无监督的学习，即聚类算法-JAVA the procedures for the functions of data unsupervised learning, clustering algorithm
noseecluster
- 聚类分析技术有着广泛应用.因为在对图像进行聚类分析时,通常缺少可资利用的先验知识,所以需要采用无监督的聚类算法.为了适应图像检索的需要,提出了一种新型的无监督聚类方法,即根据离群点信息来自动确定聚类算法的终止时机.此方法还弥补了现有聚类算法在离群点识别、使用上的缺欠.为验证其可行性,用其改进了CURE和ROCK两个经典算法.实验表明,改进后的两个算法都能自动终止,并能取得优于以往的聚类效果. -clustering analysis techniques have wide applicatio
an_ica_tool
- 一个ICA工具。This binary version of the runica() function of Makeig et al. contained in the EEG/ICA Toolbox runs 12x faster than the Matlab version. It uses the logistic infomax ICA algorithm of Bell and Sejnowski, with natural gradient and extended
Medoidshift
- 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
read_image.rar
- CohnKanada人脸表情库图像读取，经过预处理了的，含有类标，可用于无监督人脸表情识别,images inputing of CohnKanada database,including preprocessing and labels of 7 expressions. it is suitable for unsupervised facial expression recognition
ISODATA
- ISODATA算法是一种基于统计模式识别的，非常经典的非监督学习动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, unsupervised learning is the classic dynamic clustering algorithm
Kernel-K_means
- 用IDL与ENVI二次开发进行非监督分类的Kernel K_means算法，强大实用-Use IDL and ENVI for the secondary development of Kernel K_means unsupervised classification algorithm, a powerful and practical
lpp.rar
- 一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。,A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
syntax3.0
- 无监督的句法学习系统，用java开发的，采用简单的规则实现的句法分析器-Syntactic unsupervised learning system developed with java, using simple rules of implementation Parser
PatTermExtraction
- 使用无监督的机器学习方法进行术语抽取的系统,具有预处理、分词、抽取术语等功能。-Unsupervised machine learning methods for term extraction system with preprocessing, segmentation, extracted terms, and so on.
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
Isodata
- 这是一个关于遥感图像非监督分类法的算法，希望对大家有所帮助-This is a remote sensing image on the unsupervised classification algorithm, we want to help
EM-algorithm
- EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大-EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity
shang
- 一种无监督的数据离散化方法，程序简单，运行时间短，效果比较显著-An unsupervised data discretization methods, procedures easy, run a short time, compared the effect of significantly
ANNPID
- 分别采用4种控制律进行单神经元PID控制,即无监督的Hebb学习规则、有监督的Delta学习规则、有监督的Hebb学习规则、改进的Hebb学习规则.-Separately using four kinds of control laws for single neuron PID control, that is, unsupervised Hebb learning rules, there is the Delta Study supervision rules, there is supe
TextClustering
- 文本聚类，VC编程实现，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-Text Clustering, VC programming, as an unsupervised machine learning method, clustering by eliminating the need for the training process, and do not need to manually pre-ma
isodata
- isodata是个重要的非监督聚类算法，本文件提供了isodata的c++描述-isodata is an important unsupervised clustering algorithm, this paper provides a isodata of c++ descr iption
GMM_Purdue
- 基于混合高斯模型（GMM）的无监督聚类算法，希望对大家有帮助-Based on Gaussian mixture model (GMM) unsupervised clustering algorithm, I hope it would have help to you！