搜索资源列表
surfature
- [K,H,P1,P2] = surfature(X,Y,Z) returns the gaussian curvature of a surface (K), mean curvature (H), and principal curvatures (P1,P2). The inputs (X,Y,Z) are 2D arrays corresponding to the surface being analyzed. Example [X,Y,Z] = peaks [K,
RBF-k
- RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值-RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clus
accord-kmeans-source
- K-Mean clustering source code
K-means520
- K-mean算法介绍用matlab实现，很有用啊-K-mean algorithm is described by matlab implementation, useful ah
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
K-mean
- 最近邻分类器是一个用来聚类的算法，可以用来对iris数据进行聚类-k-means is a neanest alogorim
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
K-Mean
- 实现对图像的K均值法非监督分类,并能自动进行类别提取-the K-means Classification method for images
weighted_kmeans
- 用于实现weighted k-means算法，可以运行-It is used to perform weighted k-means clustering
k-mean
- k—均值分割，分割效果明显，在Matlab下完美实现-K-segmentation, segmentation obviously perfect realization in Matlab
k-mean-sift
- K均值分割 在图像角点提取中使用 使用VC++进行的编程-K-means segmentation the image corner extraction using VC++ carried programming
k-mean
- 快速K均值分类方法,该方法简单准确，是一个很好的参考程序-Fast K-means classification method, the method is simple and accurate, is a good reference
ica_K-mean
- hybrid of ICA and K-mean to improve K-mean
K-mean
- K均值聚类,用于空间区域的自适应划分，用MATLAB软件来实现。-K-means clustering for adaptive division of the region of space, using MATLAB software to achieve.
k-mean
- K均值（用matlab实现花的分类，附注释，程序简单）-K-means (machine learning job classification flowers)
K-mean-clustering-algoritm
- k均值聚类算法，帮助学习、使用，欢迎下载、-k-means clustering algorithm to help learn, use, welcome to download,
K-mean
- K平均算法，python编写,性能较好。通用性强-K-means algorithm, python write
K-nearest-neighbors
- K MEAN CLUSTERING FOR IMAGE PROCESSING
k-mean
- 简单的K均值算法，使用matlab平台编程，两个文件一个是数据文件，一个是算法文件-Simple K-means algorithm, using matlab platform programming, one file is a data file, and the other is a algorithm file.