搜索资源列表
数据挖掘中K均值算法实现
- 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
k means
- km2.m是matlab程序,test.txt是数据源
stprtool.rar
- 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1,Analysis of linear discriminant function 2,Feature extraction: Linear Discriminant Analysis 3,Probability distribution estimation and clustering 4,Support Vector and other Kernel Machines,
EM-kmeans.rar
- 用matlab实验k-means算法,对数据进行分类。,Matlab experiments using k-means algorithm to classify the data.
clustering.rar
- 图像分割算法之间的比较,比较前沿的放发,利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
texture-gabor.rar
- gabor提取纹理特征,k-means方法无监督聚类进行图像分割,extract texture feature, cluster by k-means
CodeBook
- Code MATLAB in S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras - Introduction to Pattern Recognition: A MATLAB Approach
knn.kmeans.fisher
- 常用的分类方法,包括最近邻(NN),k均值(kmeans),k近邻,Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
travailenmat
- matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
KNN_Classifier
- 一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.-K-Nearest-Neighbor-Classifier MatLab Code
moshi
- 几个模式识别的作业程序,自己写的。望指教哦,内容有感知器算法、多类感知器算法以及K均值算法-Several pattern recognition procedures, wrote it myself. Advice Oh look, the contents of perceptron algorithm, multi-sensor algorithm, as well as K-means algorithm
聚类的matlab程序
- k-means聚类算法的matlab程序大全
聚类的matlab程序
- k-means聚类算法的matlab程序。
kmeans-segment
- 利用k-means算法进行图像分割,效果较好-Using k-means algorithm for image segmentation is better
kmean
- 一个刚编出来的K—means 聚类算法的matlab源代码 适合多维数据-Just made out of a K-means clustering algorithm matlab source code for multi-dimensional data
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
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
code_knn
- K近邻算法在Matlab中的实现,相当完整,对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
pso-clustering
- 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.