搜索资源列表
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
fuzzy_c_means.rar
- 本程序用c编写，主要用于对遥感图像进行聚类（非监督分类）。,This programme is used to for clustering images (unsupervised classifciation)
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
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
RX
- 此算法使用于单波段或者多波段图像中的非监督异常检测，性能很好~-The algorithm used in single-band or multi-band image unsupervised anomaly detection, performance very good ~
Texture_Segmentation_Diffusion_Feature_Space
- 数字图像处理中的散度特征空间中的无监督的图像纹理分割-Digital image processing in the feature space of divergence Unsupervised texture segmentation of images
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！
12439874
- SAR图像的极化干涉非监督Wishart分类方法和实验研究-Polarimetric Interferometric SAR image classification Unsupervised Wishart and Experimental Research
ctex
- In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture
Harris
- 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法 针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和 背景,并根据面部特征对称性在前景中确定鼻区 然后在面部确定一个包含所有特征的矩形区域,利用 Harris算子在该区域检测出角点,并找出这些点的局部最大值点 最后用K-means方法对这些点进行 聚类 -To develop an mi age analyzing procedure forautomatic
Fuzzy-processing
- 聚类分析是多元统计分析的一种，也是无监督模式识别的一个重要分支，在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集，使相似的样本尽可能归于一类，而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中，具有非此即彼的性质，而模糊聚类建立了样本对类别的不确定描述，更能客观的反应客观世界，从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statis
Anity-Propagation
- 关于最新ap算法的开创性重要文章,应用数据分类-Affi nity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar-based clustering. We present a deriva- tion of AP that is much simpler than the original one and is based on a qu
AutoUnsupervisedIimageClassification
- 无监督图像自动分类系统，我们在VC中做了一个基于聚类的图像分类方法，可以选择不同的图像特征，还有二个不同的显示方法。使用方法见“使用说明”。-Unsupervised image automatic classification system, we made a VC in the image classification method based on clustering, you can choose different image features, there are two dif
Kjunzhi
- K均值算法是遥感图像非监督分类里的重要算法-K-means algorithm is the unsupervised classification of remote sensing images in the important algorithm
jiyuISODATA
- 基于改进模糊ISODATA算法的遥感影像非监督聚类研究-Algorithm based on improved fuzzy ISODATA unsupervised clustering of remote sensing images
K_Means
- 利用K均值聚类实现非监督分类的功能，可以将大部分常用格式图像进行分类，程序功能强大。-K-means clustering function of unsupervised classification, can be the most common format for image classification, and powerful program.
changedetectionpaper
- 关于遥感图像变化检测中基于无监督变化检测的的2篇英文论文-Two English papers on remote sensing image change detection based on unsupervised change detection
Unsupervised-Segmentation
- 侧扫声呐图像无监督分割算法和模式识别的外文论文。-Side-scan sonar image segmentation algorithm and unsupervised pattern recognition foreign papers.
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