搜索资源列表
kmeans
- kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in an array.
kmeans-java
- 用JAVA编写的kmeans算法，用于数据挖掘中的聚类
kmeans
- 用matlab实现的kmeans算法，是一个后台程序，没有调用其本身的kmeans算法，挺不错的
kmeans
- Matlab的kmeans算法实现，有很详细得说明
kmeans
- kmeans算法源程序 共6个文件 很好用的
kmeans
- kmeans算法程序
KMEANS
- C++版本的kmeans算法，可以实现任意维度，任意数量的聚类，输出信息非常完整。-C++ version of the kmeans algorithm can achieve any dimension, any number of clustering, the output information is complete.
kmeans(chp2_2_2)
- kmeans 算法的实现，编译已经通过，希望对大家有帮助-kmeans algorithm, the compiler has been passed and we hope to help
KMEANS_sample
- Kmeans算法一例，源代码为KMEANS.CPP. 数据样例为KM2.DAT。-Algorithm Kmeans example, the source code for KMEANS.CPP. Data sample for KM2.DAT.
kmeans
- 很好的matlab源代码 是kmeans算法的源代码 希望大家会喜欢-sfsdfsdfdsfdsfdsfdsfdsfdsgsgs
Kmeans
- 使用C语言实现kmeans算法，K=3。-Kmeans algorithm using the C language implementation, K = 3.
kmeans
- 标准Kmeans算法，用JAVA书写，经验证可执行。-Standard Kmeans algorithm, written using JAVA, proven executable.
kmeans
- 可以直接拿来用 python2.7 在数据挖掘中，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。(In the data mining, K-Means algorithm is a cluster analysis algorithm, which is mainly to calculate the data aggregation algorithm, mainly through the con
kmeans
- kmeans算法实现代码，详细代码实现过程，matlab语言(Kmeans algorithm implementation code, code implementation process in detail, the matlab language)
kmeans
- 改进的kmeans算法，聚类效果良好，比三种算法要好，matlab(The improved kmeans algorithm has good clustering effect and is better than the three algorithms, matlab)
kmeans
- kmeans算法，对影像进行聚类分类，matlab语言，模式识别(kmeans clustering algorithm)
kmeans
- K-means算法是集简单和经典于一身的基于距离的聚类算法 采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大。 该算法认为类簇是由距离靠近的对象组成的，因此把得到紧凑且独立的簇作为最终目标。(K-means algorithm is a distance based clustering algorithm which is simple and classic. Distance is used as a similarity evaluation index, t
kmeans-algorithm
- 一个基础kmeans算法，内含有数据文件，可以直接执行。(A basic kmeans algorithm, which contains data files, can be directly executed.)
k-means算法
- Kmeans算法是一个重复移动类中心点的过程，把类的中心点，也称重心(centroids)，移动到其包含成员的平均位置，然后重新划分其内部成员。(The Kmeans algorithm is a process of repeating the center point of a moving class, moving the center of the class, also known as centroids, to the average position of its member
kmeans
- kmeans 算法实现，参考某位博主的代码，具体是哪位大牛忘记了。对代码进行解读(Implementation kmeans, refer to a blogger.Copyright of this Blog's content is reserved.)