时间序列基于特征向量的分类与二叉树分类

The Classification of Time Series Employing Feature Vector and Binary Tree

论证了利用特征向量的距离对时间序列进行分类不是一种有效的方法,并在此基础上提出一种基于二叉树的分类方法.

In this paper, we study the classification of time-series according to the distance of their feature vector and reason that it is not appropriate. Meanwhile,we introduce a method for classification basing on binary tree.