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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-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-
- 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-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-CPP
- 通过对K-均值算法的编程实现，加强对该算法的理解和认识。提高自身的知识水平和编程能力，认识模式识别在生活中的应用-Through the K-means algorithm programming to enhance understanding and knowledge of the algorithm. Improve their level of knowledge and programming capabilities, understanding of pattern recogn
k-mean
- 简单的K均值算法，使用matlab平台编程，两个文件一个是数据文件，一个是算法文件-Simple K-means algorithm, using matlab platform programming, one file is a data file, and the other is a algorithm file.
K-means--based-on-PSO
- 基于粒子群算法的改进k均值算法比较研究 分类中心快速确定-Particle swarm optimization algorithm based on improved k-means algorithm
k-mean
- 简单的k_mean算法 对k均值算法学习很有帮助，也可以在此基础上学习改进算法-Simple algorithm for k-means algorithm k_mean very helpful, you can learn on the basis of improved algorithm
K
- 是基于MATLAB软件编的小程序。该程序是K均值算法，应用于模式识别中-K-mean algorithm
K-means
- K均值算法的详细代码实现以及含有详细的注释信息，该代码已通过验证可以运行成功-K-means
K-means-clutering-algorithm
- K均值算法，用于数据聚类，是一切数据聚类学习的基础，经常被后来学者学习和改进-K-means clubing algorithm
k-means
- K均值算法，将数据矩阵命名为data，设置聚类簇个数k，可对多维数据进行聚类。-K mean algorithm, the data matrix is named data, set the number of clusters K, can be used to cluster the multi-dimensional data.
K-means
- 聚类分析的K均值算法(Python实现)-K means algorithm for clustering analysis (Python)
K-MeansPP
- K均值算法的实现，其中实现随机获取聚类中心-Realizing the K-means algorithm, which realize stochastic get clustering center
K-means-for-K=3
- 模式识别，K均值算法，取K=3。使用VC++6.0 编译完成通过。-K means for K=3
K-means-clustering-algorithm
- 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 partitioning clustering algorithm, due to the simplicity and efficiency makes him become the most widely used
K-means
- 本程序是用python写的一个K均值算法，通过该算法可以学习一python实现算法的流程，以及学习该算法的使用。-The program is written in python a K-means algorithm, the algorithm can learn a python algorithm implementation processes, and learning to use the algorithm.