Agglomerative MeanShift Clustering http://mloss.orgUpdates and additions to Agglomerative MeanShift Clustering enFri, 02 Dec 2011 04:38:13 -0000Agglomerative MeanShift Clustering 1.0.0<html><p>Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets. For the purpose of algorithm speedup, an agglomerative MS clustering method called Agglo-MS was developed, along with its mode-seeking ability and convergence property analysis. The method is built upon an iterative query set compression mechanism which is motivated by the quadratic bounding optimization nature of MS. The whole framework can be efficiently implemented in linear running time complexity. </p></html>XiaoTong YuanFri, 02 Dec 2011 04:38:13 -0000 recognition