搜索资源列表
k_mean
- 主要实现对于图像内容的K均值聚类算法，以达到分割的目的-main image content for the K-means clustering algorithm to achieve the purpose of segmentation
k_mean
- 利用k均值的方法对源图象进行聚类,进而实现图象分割的方法,此为c++代码
k_Mean
- K聚类分析，通过使用欧式距离，K聚类方法显示聚类结果，用于分类
K_Mean
- K均值KMean聚类算法，详细使用方法见cpp文件注释，输入数据格式：点，如 1 空格 1 回车 2 空格 2 。。。 -K-means clustering algorithm KMean detail see cpp files to use notes, input data formats: point, such as 1 Enter 2 spaces 1 space 2. . .
k_mean_cluster
- 通过c语言实现k_mean聚类算法，是最简单的聚类算法，欢迎参考-Through c language k_mean clustering algorithm, is the simplest clustering algorithm, welcome reference
k_mean
- K_mean K均值算法 C语言-K_mean K means algorithm C language
k_means
- k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
K_Mean
- Source code for K-Mean algorithm
Cluster_Analysis
- Source code on cluster analysis. K_Mean Cluster, data decoder,etc.
k_mean
- 简单的k均值聚类算法，C++实现，将若干点聚类为两类-A simple k-means clustering algorithm
K_Mean
- KMeans algorithm for ImageJ-KMeans algorithm for ImageJ...
K_Mean
- 很好的聚类代码，可以用于对图像数据聚类。-A good clustering code that can be used to image data clustering.
nnk
- 此代码是k紧邻分类算法 用的数据集是在机器学习网站上下的经典的数据集-k_mean
K_Mean
- it implements K-means algorithm in pattern recognition
K_Mean
- c++k均值算法，简单的示例程度，对K-mean学习有帮组-c++ k means algorithm, a simple example of the extent of the K-mean learning to help groups
kmeans
- 该程序为用于数据挖掘算法中的基本方法基于密度方法-k_mean
k_mean
- k means algorithm implementation
K_mean
- 利用K均值算法对7个波段的TM遥感影像进行有监督的分类！里面包含完整的算法及TM图像，下载即可进行调试!-K means algorithm using 7 bands of TM remote sensing image supervised classification! Which contains the complete algorithm and the TM image, download it for debugging!
k_mean
- 运用k_mean算法，实现对指标点的聚类分析，然后找出其中的中心点。-Use of k_mean algorithm, realize the index point of clustering analysis, and find out the center.
K_Mean
- K_Mean聚类分析算法用于各地区城镇居民年人均收入的分析（分别4类），包括原始数据以及代码！结果在Data1、Data2、Data3、Data4中.-K Mean clustering algorithm used to analyze the regional urban residents per capita income (Class 4, respectively), including the original data and code! Result in Data1, Dat