搜索资源列表
IRIS数据
- IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
ais483
- 人工免疫算法的集合，包含函数优化，图象识别，聚类等多种应用，采用matlab编程，并负有示例数据。~..~ -artificial immune algorithm set includes function optimization, image recognition, clustering, and other applications. using Matlab programming, and bear sample data. ~ ~ ..
cluster-3.6.5
- 一种数据聚类算法的源码，可以在模式识别和图像处理中试用。 -a data clustering algorithm source code, in pattern recognition and image processing trial.
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
Fuzzy-Cluster-Analysis
- 利用VB来实现的模糊聚类分析，形象而且易懂。-The use of VB to achieve the fuzzy cluster analysis, image and easy to understand.
swtu
- 改进的模糊聚类算法，主要用于处理高分辨率遥感影像-Improved fuzzy clustering algorithm, mainly used to deal with high-resolution remote sensing image
th
- 模糊聚类算法的一部分，加入了邻域信息，可以更好的分割图像-Part of fuzzy clustering algorithm, joined the neighborhood information may be a better image of the partition
Kmeans
- Kmeans图像聚类 Kmeans图像聚类 Kmeans图像聚类-Kmeans image clustering Kmeans image clustering Kmeans image clustering Kmeans image clustering Kmeans image clustering
1
- 论述了医学图像挖掘在计算机辅助诊断中的作用，提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法，介绍 了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析，给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
clustering
- 杨淑莹：图像模式识别，聚类程序，编译可用-Yang Shuying: image pattern recognition, clustering, compiler available
Objects(Extension-of-planes)
- Code to segment objects in an image using clustering.. by cvKMeans2-Code to segment objects in an image using clustering.. by cvKMeans2
Planes
- Segments all the planes in an image.... using Kmeans Clustering algorithm
vcdigita-image-patten-
- 本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等-This book describes the pattern recognition and artificial intelligence in some of the basic theory and some related models, including Bayesian decision-making, linear discriminant f
FLICM
- FLICM是基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最新改进方法，其效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.
module-1
- ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
Clustering-Recognition
- 这个源码工程，包含聚类程序和分类程序，并将聚类以后的图片进行分类处理，可以实现手绘数字的识别功能-This source projects, including the clustering procedure and classification procedures, and clustering image after classification, recognition function of the hand-painted figures
FCM-used-for-image-segmention
- 基于FCM的图像分割算法，先对图像平滑，然后利用FCM对像素聚类，实现对图像的分割。-A methord based on FCM for image segmenting,firstly,using filter to smooth the image and the use the rule of FCM clustering pix finshing image segmention
image-classification
- VC++写的图像聚类程序包含遗传算法，聚类分析，模糊聚类，很好用的，可以-VC++ written program contains an image clustering algorithm, cluster analysis, fuzzy clustering, well used, can look
ANN-Homework
- 通过人工神经网络来对图像进行聚类，一致迭代到相同颜色聚簇到一块。-An image clustering is performed through artificial neural networks, the same iteration of the same color to a cluster.