搜索资源列表
k-means
- k均值算法，基于两维的
K-means
- 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
cvKmeansDemoClassifi
- matlab code for the k means clustering
gdp
- 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
kmeans_segment
- 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 betwe
K-Means
- 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 sim
PG_BOW_DEMO-master
- 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
k-means
- 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
k-means
- 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
Arithmetic
- 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
cPP
- 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), (