搜索资源列表
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
- 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-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-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
k-means
- 本代码主要实现了k均值聚类算法，通过c++在vc软件下实现聚类。-The code is mainly achieved k-means clustering algorithm, c++ in vc achieve clustering software.
k-juleijunzhisuanfa
- 数据挖掘k-均值聚类算法 VC6.0测试通过-Data mining k-means clustering algorithm VC6.0 test
K-junzhi
- K均值聚类算法，里面的wdbc是数据。用matlab写的-K-means clustering algorithm, which is wdbc data. Written by matlab
k-means
- k-均值聚类算法（C语言实现）： 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 clustering algorithm (C language): given the number of classes K, N objects will be assigned to the K class, making the class the biggest similarity between objects, and the s
K-means-clustering-code
- K均值聚类的源代码，是用VC++写的，不错的，供初学者的学习掌握的。-It is a code of K means clustering, written by vc++, and it is good to the novice.
k-means-for-iris
- 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果-The use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results
K
- K均值聚类在Matlab中的代码实现，是图像分割和图像识别中常用处理操作-K-means clustering code in Matlab realize image segmentation and image recognition is commonly used in processing operations
RBF-k-means
- 自己编写的RBF聚类程序，采用K均值聚类算法，希望对大家游泳！-Based on RBF neural network program code K-means clustering！
K-means_C
- K均值聚类算法，由C语言编写，可以自己调整迭代次数，超级好用-K-means clustering algorithm, the C language, you can adjust their iterations, super easy to use
k
- 模式识别课程设计，K均值聚类，C语言代码-C progress
k-meansaSOFM
- 已知一组二维模式矢量如下（20个）,利用k均值聚类算法将模式集分类，并计算出聚类中心。利用输入层为2个神经元，输出层结构为7*7方阵的自组织映射（SOFM）对同样模式进行聚类-Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster cent
K-means-clustering-algorithm
- K-均值聚类算法。可自由输入初始聚类中心的个数和其坐标。-K- means clustering algorithm. The number can be entered free initial cluster centers and their coordinates.
K-means-and-iterative
- 图像的K均值与迭代处理,k-均值聚类是一种动态聚类，又称“C-均值算法”。-Image k-means and iterative processing