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K均值聚类算法
- 是模式识别中的一种分类算法,用C++编程,很实用。
K均值聚类
- 对图像进行K均值聚类的程序
用matlab实现K均值聚类算法
- 用matlab实现K均值算法
K-均值聚类算法
- K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
KMeans
- K均值算法,Matlab实现,输入分类数,实现分类-K means algorithm, Matlab implementation, enter the number of classifications to achieve classification
demo
- 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
K-means_clustering_demo
- K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
K-Means
- K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
k-meams(sourcecode)
- C#实现k均值文本聚类算法,文本聚类C#源程序,k-means聚类算法-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm
exer-kmean
- k均值算法实现聚类 c语言编写-k-means clustering algorithm c language
matlab_MRF
- k-均值算法的源码很有用,希望有帮助,请多多指点-k-means algorithm is useful source of hope that has helped, please instruct it
123456789K_Average
- K均值算法的matlab代码,使用起来很简单,对于模式识别的效果也很好,初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
K
- K均值算法-分类器-有效抑制边缘点影响-简单有效-K-means algorithm- Classifier- effectively inhibiting the impact of edge points- simple and effective
k-means
- 实现了K均值算法,可以对movielens上的数据进行自动分类,给出推荐值,是数据挖掘中的信息推介必要的算法工具。可以直接对movelens的数据进行聚类-Implementation of the K-means algorithm, can movielens on automatic classification of data, recommend give the value of data mining are to promote the necessary information
K-means_Matlab
- K-均值算法的Matlab源代码,比较简短-Matlab source code of K-means algorithm
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类,适合于初学者(K-means algorithm for clustering images, suitable for beginners)
k-means算法2
- 使用该算法可以实现数据的聚类分析,非常适合初学者。(The algorithm can be used to achieve clustering analysis of data, ideal for beginners.)
聚类分析
- 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps)
K-means
- 利用MATLAB实现K均值聚类算法,加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
kmeans
- 利用k均值聚类算法对数据进行聚类分析(数据点通过随机生成)(Using k-means clustering algorithm to cluster data (data points are generated randomly))