KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-mean

资 源 简 介

KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.

您 可 能 感 兴 趣 的

• KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-mean
• kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in a
• This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.C
• This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS
• A Cluster-Based Security Architecture for Ad Hoc Networks
• 开发工具EVC3.0 按下面做然后编译 是一个字典程序 请解压缩到D盘根目录,在eMbedded Visual C++ 3.0 的Tools=>Options菜单项Directories选择卡中
• 并行矩阵乘法。用于mpi和openMP混合并行求解矩阵乘法问题。适用于分布共享存储cluster环境。无解压密码。
• kmeans算法两个cpp实现,一个中心点随机选择,另一个中心点按一定的算法选择.
• No.Starch.Press.Linux.Enterprise.Cluster.---kanshu3721No.Starch.Press.Linux.Enterprise.Cluster
• kmeans算法的java描述