搜索资源列表
k-means_Program
- k-means 算法接受输入量 k ；然后将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。 -k-means algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: t
K_mean_clustering
- k-mean clustering Matlab M-file
K-mean
- K-mean algorithm,very simple but efficient
FuzzyKmeanclustering
- code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
Kmeans
- K-Means的java程序算法实现，能够有效处理K-mean问题-the realization of the K-means algorithm in java
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
k-mean
- 实现K-mean算法，并用一些数据进行说明-Implement K-mean algorithm, and described by some data
code
- K mean algorithms for image implement in java
K-mean
- 用K均值聚类法对数据进行分类，比较简单和基础的分类方法，可用于图像处理-With the K-mean method for data classification, the classification of simple and basic method can be used for image processing
K-mean
- K Mean Algorithm Java
K-mean
- K-MEAN算法的实现，给定模式样本进行两个聚类中心的聚类。-The K-MEAN algorithm, the clustering of a given mode samples the two cluster centers.
K-mean-by-Jayesh
- K mean easy implementation
k-mean
- 用k均值方法进行分类的matlab小程序。-A small process based on k-mean.
k mean clustering
- k mean clustering algorithm
k-mean-usage
- k均值的用法示例，它的数据生成部分可用于其它机器学习程序-A example of k mean usage
K-mean
- 用Java写出一个基本K-mean算法的实现，供模式识别初学者学习-A basic K- scheme implementation of the algorithm
k-mean-clustering
- clustering an image to k clusters using k-mean clustering method
K-mean-by-Jayesh
- K mean easy implementation
K均值聚类
- K均值聚类算法图像分割，最传统的一种分割方法(K mean clustering segmentation)