搜索资源列表
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
- 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 similar
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-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,
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.
Fuzzy-k--clustering
- 模糊K均值聚类算法的matlab程序，很实用，很有针对性。-K fuzzy means clustering algorithm matlab procedures, very useful and very targeted.
K-Means-Clustering-and-PCA
- 此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。 -This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compres
RBF-k
- RBF-k均值聚类算法的matlab程序和样本数据，可用于RBF-k均值聚类算法的仿真。-RBF-k-means clustering algorithm matlab program and sample data, can be used to simulate the RBF-k-means clustering algorithm.
k-means
- k均值聚类算法，模式识别大作业，适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
K-MEAN
- k-均值聚类算法的源代码，推荐的大家使用junzhinjuleisuanfa-k-junzhiyuandaima
K-Means-master
- k均值聚类算法，自动产生一组数，并进行聚类，稍作修改可用于机器学习等方面使用-k-means clustering algorithm to automatically generate a set of numbers, and clustering, minor modifications can be used in other aspects of the use of machine learning
kmeans
- 基于k均值的无监督聚类算法，输出有各个样本的类别标签，目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据，点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iter
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
kmeans
- 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(kmeans algrithom use for clustering)