搜索资源列表
kMeansCluster-Code-For-matlab.m
- The code for k-means cluster in matlab. It works well in matlab.
kmeanscluster
- K means algorithm implementation
kMeansCluster
- k均值聚类算法Matlab代码实现,可以直接运行-k-means clustering algorithm Matlab code to achieve, can be run directly
kMeansCluster
- k-means聚类算法，根据属性将矩阵中的对象分类-K-means clustering algorithm，classify the objects in data matrix based on the attributes
kMeansCluster
- 数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量，使用欧拉距离计算对象之间的相拟度-K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。
Desktop
- 各种聚类算法程序 及应用实例 GK GG KG-clustering GKcluster KmeansCluster
KmeansCluster
- K均值聚类,自编的能够运行的K均值聚类程序，可用于聚类分析-K-means clustering，Self capable of running K-means clustering procedure that can be used cluster analysis
KmeansCluster
- 比较方便的KMEANS聚类分析算法MATLAB代码，KMEAN-CLUSTER-Cluster analysis KMEANS better MATLAB code, KMEANS-CLUSTER
kmeansCluster
- 用Java实现kmeans(画布上画点聚类)-Java implementation kmeans (on canvas painting point clustering)
kmeanscluster
- K-means clustering algorithm
kMeansCluster
- 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 accepts input amount of K then the object n data is divided into k cluster so that the obtained clusteri
kmeansCluster
- 开源搜索Carrot2中的kmeans聚类算法（作为性能对比用），由波兰学者Osinski撰写。-The open source search Carrot2 kmeans clustering algorithm (used as a performance comparison), written by the Polish scholar Osinski.