层次聚类(hierarchical clustering)可在不同层次上对数据集进行划分,形成树状的聚类结构.AggregativeClustering是一种常用的层次聚类算法. 其原理是:最初将每个对象看成一个簇,然后将这些簇根据某种规则被一步步合并,就这样不断合并直到达到预设的簇类个数.这里的关键在于:如何计算聚类簇之间的距离? 由于...
Agglomerative hierarchical clustering Varied densities Dendrogram purity Isolation kernel Gaussian kernel 1. Introduction Hierarchical clustering is one of the widely used clustering methods [1]. Given a set of data points, the goal of hierarchical clustering is not to find a single partitioning of the...
Embong A. (2010), “A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented - Sembiring, Zain () Citation Context ...e reusability of software system using hybrid k-means and decision tree approach. The reusability value will be Nill or Excellent to separate different ...
Data clustering algorithm based on agglomerative hierarchical clustering (AHC) which uses minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria. Topics algorithm clustering matlab convex-hull volume convexhull cluster-analysis matlab-toolbox clustering-algorithm principal-compon...
matlab A matlab interface (fitAHCPlane.m) through MEX for using our algorithm in matlab. We also provide a wrapper class Kinect.m and kinect_ahc.m to do real-time plane extraction in matlab, partially depends on a 3rd-party toolboxKinect_Matlab. ...
There are many clustering methods, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical type. The great majority of hierarchical approaches to the clustering of variables are of agglomerative nature. The agglomerat...