搜索资源列表
k-means
- opencv k-meas 聚类分割，将图片分为2部分，主要针对道路特征-opencv ， cluster
r-k
- 利用已知的四阶R-K方法求解高阶常微分方程-Using the known four order R-K method to solve high order ordinary differential equation
k-meansPgenetic_hybride
- HGK, an hybrid algorythm with k-means and genetic applied on a small dataset for clustering (finding patterns and approximative solutions). have to run k-means befor lunching the HGK
Lindsey-Fraser---Conversa-com-J.K.-Rowling
- Lindsey Fraser - Conversa com J.K. Rowling
K-TNote
- K-TNote 临时记事本，可置顶，可更改颜色。-K-TNote Power by bluerat
k-means
- K means matlab code for image processing
K-mean
- K Mean Algorithm Java
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
K-image-RGB
- 用C语言实现一张BMP图像的所有点的RGB的K-均值聚类程序，生成两个聚类中心。可根据具体情况稍作修改后直接调用。-VC6.0 digital image RGB
k-means
- k means algorithm for clustering and demo of it is given here for understanfing it in proper manner-k means algorithm for clustering and demo of it is given here for understanfing it in proper manner
k-means
- 次算法基于欧式距离，用于数据挖掘k均值聚类算法,或者用于数据挖掘作业-for dating ,kmeans
K-Means
- 数据挖掘K-means算法实现，源码，是大家学习的好资源啊-DM(data mining)
k-JUNZHI
- K均值的MATLAB实现还有PPT,主要用于实现文本分类-K-means realization on MATLAB and PPT
K-means
- 本篇为分为2类的K-means变化监测，对于本实验中的图效果还可以。-Divided into two classes of K-means change monitoring
K-means
- k-means算法实现，对于要聚类的数据，可以对代码进行更改，读入自己的数据-This code implentents the K-means algorithm
K
- K 均值聚类程序，可以进行K均值聚类，是模式识别的一个重要算法-K-means clustering procedure, the K-means clustering is an important pattern recognition algorithm
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-means
- 数据挖掘中得k-均值算法的c++实现，可以使你对数据挖掘算法有个初步的了解。-k-means algorithm in data mining is achieved with c++ . Allows you to have a preliminary understanding of the data mining algorithms.
K-means-clustering-experiments
- 经过一周的深入学习和参考本站的资料，对K均值进行了改进。可以针对简单的二维的矩阵进行任意中心个数的聚类，并且能够生成图像。-K-means clustering experiments
k-means
- 基于k均值的强化学习的状态和动作的选择，可以有效的解决维灾难问题。-q learning with k-means