搜索资源列表
对偶
- 对偶传播神经网络,有监督和无监督相结合的一种神经网络-dual-propagation neural networks, supervised and unsupervised combination of a neural network
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
KMeanIntroduction
- 聚类分析是将集合中的数据按其相似性大小分成不同类别的一种方法,它是模式 识别中多变量无监督学习的一个分支,己成功地用于医学,地质,财务,工程,图像 处理和文档等的数据分类中；含有实现此算法的源码 -cluster analysis is to pool the data according to similar size into a different category, It is pattern recognition multivariable Unsupervised Le
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
人脸检测与语音驱动口型的文章
- 这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。,This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you.
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
k-meansjava.rar
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
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
Unsupervised-learning
- Unsupervised Learning - Clustering
Unsupervised-clustering-analysis
- 模式识别，非监督聚类分析分类方法，含完整Matlab程序。-Unsupervised clustering analysis
unsupervised-learning-neural-network
- Water inrush identification of mine based on unsupervised learning neural network