搜索资源列表
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.
k-means
- C++版，简单的实现k-均值算法。-C++ version, a simple realization of k-means algorithm. .............
k_meansc_meansCluster
- 基于k均值、c均值等聚类算法，应用于数据挖掘-Based on the mean k, c means clustering algorithm, etc., used in data mining
K-Means
- 一个很好的C均值聚类算法！通过运行此文件可以很好的进行数据的分类。-K-means
Kjunzhi
- K－均值聚类算法C++编程-...
fcm
- 模糊C均值方法，将模糊的方法用到K均值方法里面-Fuzzy C Means method, the fuzzy approach method which used the mean K
K-meansclusteringalgorithmprogram
- 模式识别课程上用C++语言编写的K-均值算法对150个样本进行分类。-Course on pattern recognition using C++ language of the K-means algorithm to classify the 150 samples.
fuzzy_k_means
- 模糊K均值算法实现。Fuzzy K Means algorithm.-Fuzzy K Means algorithm.
k-meanssss
- 聚类算法中的经典k均值用c++实现的，测试结果还不错-Classical clustering algorithm k means in c++ implementation with the test results is not bad
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-image-RGB
- 用C语言实现一张BMP图像的所有点的RGB的K-均值聚类程序，生成两个聚类中心。可根据具体情况稍作修改后直接调用。-VC6.0 digital image RGB
K-means
- 数据挖掘中得k-均值算法的c++实现，可以使你对数据挖掘算法有个初步的了解。-k-means algorithm in data mining is achieved with c++ . Allows you to have a preliminary understanding of the data mining algorithms.
k-means
- c++实现k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类-c++ k-means algorithm, display the cluster result on the two demension
Vector-quantization-of-the-C
- 矢量量化算法的C语言实现：LBG(K-均值)聚类算法，在欧几里的距离基础上用LBG算法将输入向量聚类。-Vector quantization of C language implementation algorithm:LBG (k-means) clustering algorithm, in several European based on the distance with LBG algorithm will input vector clustering.
K-MEANS
- 基于c++对模式识别中K均值算法进行实现，可以读取不同波段数，并且实现对地物的分类效果。代码简单易行。-K-means algorithm in pattern recognition based on the c++ implementation, can read the band number and classification of surface features. The code is simple.
K-Meansl
- 自己编写了一个c++的k均值聚类算法，使用起来很方便，数据存储在txt文件里，可以 改成自己的数据，方便使用,目录里给了两组UCI机器学习数据库上的数据，供实验用 。可以用这个文件直接运行就好了，里面给出了详细的使用说明。-k means clustering by array.
K-means
- 模式识别中聚类分析经典算法，K-均值算法，C语言编写，可以读入文件，处理任意维数和任意个数的特征向量，附有测试数据。-The classic pattern recognition, cluster analysis algorithm, the K-means algorithm, written in C language, can read the file, handle any number of dimensions and any number of feature vectors
K-expected
- 这是K—均值二维算法的C++实现，模式识别用的-This is a two-dimensional algorithm of K-means C++ achieved, and pattern recognition with
k-and-isodata
- 模式训别的k均值算法和isodata聚类算法c++实现，程序有较清楚的注释，且有word文档说明程序是如何实现算法的，对于刚接触模式识别的程序具有很好的启发作用，不足之处是没有用mfc完成界面编程-Mode of training to achieve other k-means algorithm and isodata clustering algorithm c++, procedures clearer notes and word documents that the program
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class