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k-mean-sift
- K均值分割 在图像角点提取中使用 使用VC++进行的编程-K-means segmentation the image corner extraction using VC++ carried programming
k-means-for-image-segmentation
- k均值用于图像分割，对于相同颜色但深度不一样可以分割。-k-means for image segmentation, the same color depth can be split.
k-mean
- 快速K均值分类方法,该方法简单准确，是一个很好的参考程序-Fast K-means classification method, the method is simple and accurate, is a good reference
K-means
- K均值算法描述： 给定类的个数K，将N个对象分到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。-K-means algorithm described: a given number of classes K and N objects assigned to the K-th class, so that objects within the class of the similarity between the maximum, while the simi
K-means-color-segmentation
- K均值图像检测，GUI界面，可对彩色图像分割-K-means image detection, the GUI interface, color image segmentation
K-MEANS
- k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i
k-means
- k—均值算法opencv代码实现。 k-Means 算法是一种 cluster analysis 的算法，其主要是来计算数据聚集的算法，主要通过不断地取离种子点最近均值的算法。
K-mean
- K均值聚类,用于空间区域的自适应划分，用MATLAB软件来实现。-K-means clustering for adaptive division of the region of space, using MATLAB software to achieve.
K-means-clustering-algorithm
- K均值算法使用的聚类准则函数的误差平方和准则，通过反复迭代优化聚类结果，使所有样本到各自所属类别的中心的距离平方和达到最小。-K-means clustering algorithm uses squared error criterion function and criteria through iterative optimization clustering result, all the samples to the respective classes of the center s
K-Means
- 数据挖掘中的K-均值聚类算法，java语言实现。 可直接编译运行-Data Mining K-means clustering algorithm, java language.
K-means-
- 一种基于颜色的分割，使用聚类算法中的K均值算法。本例主要用到的函数是色彩空间转换函数makecform和applycform，对于K均值聚类使用kmeans函数。-Based on color segmentation, using clustering algorithm K-means algorithm. In this case the main function used is the color space conversion function makecform and appl
k
- k均值算法，数据挖掘里面比较基础的算法，实现类聚-k-means algorithm, which based on the comparison of data mining algorithms to achieve clustering
k-mean
- K均值（用matlab实现花的分类，附注释，程序简单）-K-means (machine learning job classification flowers)
K-maens
- K均值聚类算法对图像进行分割，实验用程序，亲测可用。-K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.
K-average-clustering-algorithm
- K-均值聚类算法研究。K - average clustering algorithm research.-K- average clustering algorithm research.
K-mean-clustering-algoritm
- k均值聚类算法，帮助学习、使用，欢迎下载、-k-means clustering algorithm to help learn, use, welcome to download,
K-means-algorithm-by-CPP
- K均值算法，聚类分析，C++实现，附代码以及示例程序-K-means algorithm, cluster analysis, C++ realize, with a code and sample programs
k-means
- k均值算法的ppt，里面包含了模糊c均值算法，有益于对该算法的理解，有较大的帮助-k-means algorithm ppt, which contains a fuzzy c-means algorithm, the benefits of this algorithm understanding, a great help
k
- k均值算法，社区划分算法中经典算法，WSN中分簇也可使用该算法。-K-means algorithm, classic algorithms in community partition algorithm, clustering can also use this algorithm in the WSN.
K-means-cluster
- 主要是用来K均值聚类，K值按照自己的需要设置并将聚类结果保存到相应目录下的excel文档中-Mainly used K-means clustering, K value is set according to their needs and clustering results are saved to the appropriate directory under the excel document