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k均值算法,基于两维的
Date : 2008-10-13 Size : 5.82kb User : 王雅

k均值算法,基于两维的-k-means algorithm, based on two-dimensional
Date : 2025-12-31 Size : 6kb User :

调用GDAL库实现模式识别的K均值和ISODATA算法,对图像的分类-Call GDAL library implementation of K-means and ISODATA algorithms pattern recognition, image classification
Date : 2025-12-31 Size : 6.14mb User : 天甜

matlab code for the k means clustering
Date : 2025-12-31 Size : 1kb User : DK

关于数据挖掘与隐私保护的源代码及论文,主要用到k-means的聚类分析-About Data Mining and Privacy Protection of the source code and papers, mainly used k-means clustering analysis
Date : 2025-12-31 Size : 688kb User : 聪聪

利用K均值进行图像分割,无需利用“苹果为红色”这个先验知识,而只需利用图像本身的特征——前景与背景区别较明显-The use of K-means image segmentation, without the use of " red apple" This a priori knowledge, and simply use the characteristics of the image itself- the more obvious differences between the foreground and background
Date : 2025-12-31 Size : 83kb User : TANSHEN

聚类算法采用的是给定类的个数K,将N个元素(对象)分配到K个类中去使得类内对象之间的相似性最大,而类之间的相似性最小-Clustering algorithm is used to set the number of classes K, the N elements (objects) is assigned to the K classes to make the biggest similarity between objects within the class, and the similarity between the smallest class
Date : 2025-12-31 Size : 1kb User : lengbing

基于BOW模型的图像分类,其中包括K-means聚类等分类算法-BOW model-based image classification
Date : 2025-12-31 Size : 3.42mb User : dan

k-means聚类分析的程序压缩包,希望对大家有所帮助,包括源程序等- k-means Correlation Analysis Cluster Analysis on the preparation of the program matlabCluster Analysis on the preparation of the program matlab
Date : 2025-12-31 Size : 25kb User : 郑小茹

C语言编程实现的八维K-means聚类算法-Eight dimensional K-means clustering algorithm based on C programming language
Date : 2025-12-31 Size : 42kb User : 风大

Aprior算法,Fp树算法,K均值,k中心点聚类算法,都可实现-Aprior algorithm, Fp tree algorithm, K-means, k center clustering algorithm can be realized
Date : 2025-12-31 Size : 39kb User : 陈露婷

C++简单实现K-Means聚类算法 (2,10), (2,5), (8,4), (5,8), (7,5), (6,4), (1,2), (4,9), (7,3), (1,3), (3,9) (红色的表示初始所选的中心点) K-means算法介绍可参考其他资料或书籍。-C++ simple implementation of K-Means clustering algorithm(2, 5), (2, 5), (8,4), (5,8), (7,5), (6,4), (1,2), (4,9) , 3), (1,3), (3,9) (red indicates the initial selected center) K-means algorithm can refer to other information or books.
Date : 2025-12-31 Size : 18kb User : 柴丽梅
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