搜索资源列表
kMeans
- k-mean image clustering source code developed using java
SimpleRegionGrowing
- usefull k-mean algorithm developed for image clustering using java
COMPACT
- k-means clustering algorithm, C means Fuzzy clustering algorithm-k-means clustering algorithm, C means Fuzzy clustering algorithm...
textclusterr
- 文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
K-mean
- K平均聚类法，比较好用，又需要的赶紧下吧-K-clustering method to compare easy to use, but also hastened to the needs of the next bar
matlab-code
- 模式识别c均值聚类，也陈k均值，是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
rbf_Kmeans
- 基于k均值聚类方法的rbf网络源程序，有需要的就下载吧，-K means clustering method based on rbf network source, there is need to download it,
k-means
- 用C++实现k-mean聚类算法并进行初级的数据挖掘，-Using C++, k-mean clustering algorithm and a preliminary data mining,
proje
- applied k means clustering for vector quanta and used huffman for image compression matlab code
K_MeansSeg
- KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
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
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
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
Kmeans-clustering
- 用matlab编写的k均值聚类程序，可直接运行调用-Prepared by the MATLAB K mean clustering procedures, can be directly run call
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
- K-MEAN算法的实现，给定模式样本进行两个聚类中心的聚类。-The K-MEAN algorithm, the clustering of a given mode samples the two cluster centers.
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-nearest-neighbors
- K MEAN CLUSTERING FOR IMAGE PROCESSING
k-mean-clustering
- k-means algorithm descr iption with examples with visual basic code.