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kmeans
- 字符识别的特征提取，内附有处理前的数据和处理后的数据，解压后即可使用-Character recognition feature extraction, enclosed is the manipulation of data from the data before and after treatment, after decompression can be used
Kmeans
- k均值聚类算法，可以有效的找到聚类中心，并且把两类聚在一起，很经典实用。-k-means clustering algorithm, can effectively find the cluster center, and the two categories together, very classic.
KMEANS
- 输入：聚类个数k，以及包含 n个数据对象的数据库。输出：满足方差最小标准的k个聚类。处理流程： （1）从 n个数据对象任意选择 k 个对象作为初始聚类中心. （2）根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；（3）重新计算每个（有变化）聚类的均值（中心对象） （4）循环（2）到（3）直到每个聚类不再发生变化为止-Input: number of clusters k
TrabalhoPDI01
- kmeans dataset iris.dat
kmean
- kmeans程序，中有小例子，简单实现的小程序-kmeans program, there is a small example, a simple small program to achieve
kmeans_with_outlier_eliminate
- 自己写的kmeans聚类并消除异常点的matlab代码。-kmeans clustering matlab code with outliers eliminate.
KM
- matlab实现kmeans，有具体使用说明和模块说明-matlab realize kmeans, there are specific instructions and Module Descr iption
cskmeans
- kmeans实现，matlab环境下，调用自带的函数-kmeans realize, matlab environment, the built-in function calls
kkmeanskcluster
- kmeans clustering c-kmeans clustering c++
kmeanscorrection
- 用modularity方法聚类，以最短路径为择优条件-kmeans to cluster
d
- kmeans算法，实现数据分类，比人工更加准确科学-kmeans algorithm, data classification, more accurate than manual scientific
kmeans
- Hadoop的k-means算法，分布式K-means-Hadoop-k-means algorithm, distributed K-means
mykmeans
- 我写的一个带权重的kmeans算法，在计算中心点的位置时考虑到了每个点的权重-I wrote a kmeans algorithm with weights in the calculation of the position of the center point to take into account the weight of each point
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 conversi
123
- 使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换-Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion
MovieSite
- 利用kmeans对电影进行聚类，利用java实现-Use kmeans clustering of the film, using java to achieve
Kmeans
- 使用Java实现K-means（C均值）聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
KMeans
- 几种聚类方法，可用于聚类时，多种方法的比较-Several clustering method can be used for clustering, multiple Comparison
textcluster
- 使用k_means算法实现文本的分类,其中使用TF*IDF计算权值-kmeans TF*IDF
kmeans
- k-means for iress data