The method is composed of the following steps: (1) Dynamic time warping (DTW) based spectral clustering method is used to obtain a small set of samples to initialize the hidden Markov models (HMMs) of normal behaviors;

• 该算法包括以下几个主要步骤:(1)通过基于动态时间归整(DTW)的谱聚类方法获取适量的正常行为样本,对正常行为的隐马尔可夫模型(HMM)进行初始化;