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my_kmeans
- 模式识别k_means聚类算法。-kmeans clutering algorithm for Pattern Recognition
K_Means
- k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件
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_means
- k-nearest 聚类算法,用最短距离计算一组数据的聚类算法-k-nearest clustering
K_means
- 模式识别中的聚类算法，读取文件，实现K均值的分类。-Pattern Recognition in the clustering algorithm to ensure that you can run the
cluster
- 经典K_MEANS聚类算法，代码详细，编程风格良好-Classic K_MEANS clustering algorithm, the code in detail, good programming style
k_means
- 使用k-means算法对样本空间中的未分类的点进行聚类。-K-means algorithm using the sample space clustering unclassified points.
FCM_algorithm_based_K_means_clustering_algorithm_a
- 基于K_means算法和FCM算法的聚类研究-FCM algorithm based K_means clustering algorithm and study
k_means-algorithm
- k-means算法是模式识别十大算法之一 matlab仿真的k-means聚类算法-k-means algorithm for pattern recognition algorithm is one of the top ten k-means clustering algorithm
k_means
- 用matlab实现k-means聚类算法，本程序将随机数据点分为三类-Using matlab to achieve k-means clustering algorithm, the program will randomly divided into three categories of data points
k_means
- 功能完善的、代码简单清晰、注释良好的k均值聚类算法-The function is perfect, code simple clear, annotation good k-means clustering algorithm
K_means
- k-means算法是根据聚类中的均值进行聚类划分的聚类算法。 输入：聚类个数k，以及包含n个数据对象的数据。 输出：满足方差最小标准的k个聚类。
K_means
- k-means聚类算法的实现，比较简单，一共有五个java文件。-k-means cluster algorithm
k_means
- k均值聚类算法，使各个样本与所在类均值的误差平方和达到最小，并且附有显示程序-k-means clustering algorithm, where the class so that each sample and the mean squared error to a minimum, and with the display program
k_means
- 采用matlab实现K_means聚类算法，可用于图像分类等-Using matlab realize K_means clustering algorithm, can be used for image classification
K_means
- K均值聚类算法，希望对大家有用 Kmeans cluster algorithm It is possible to perform -Kmeans cluster algorithm It is possible to perform
k_means
- 用matlab实现的简单的k_means聚类算法，简单有效，已测试通过-K_means with a simple clustering algorithm matlab realized, simple and effective, have been tested
k_means
- 用kmeans算法处理资源3号卫星图像，用欧式距离来计算聚类中心，在用前后两次聚类之间的误差来决定迭代次数(Kmeans algorithm is used to deal with the resource 3 satellite image, and the Euclidean distance is used to calculate the clustering center. The number of iterations is determined by the error bet
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
主动半监督K_means聚类算法研究及应用_吕峰.caj
- 基于师生模型实现半监督学习，百万级数据级(Semi supervised learning based on teacher-student model, million data level)