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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2017

关键字：Uncertain time series DTW with limited width UK-Means clustering ARI

摘要：The probability density function represents the uncertainty of time series at each time point. In this paper, based on probability density function, we adopt the ULDTW distance for uncertain time series and apply it to the traditional UK-Means clustering. Combining the property that ULDTW distance has a one-to-many correspondence between time points in the matching process, we propose a 1ToNCenter calculation method replacing the traditional mean cluster-center calculation method to improve the accuracy of clustering results. Experiments show that the Adjusted Rand Index (ARI) of UKMeansULDTW clustering results have an obviously higher accuracy than the existing UK-Means algorithms in the high dimensional uncertain time series cases.

ISSN号：0302-9743

是否译文：否

发表时间：2017-01-01

合写作者：Zhu, Xiaoping,Tang, Qijie

通讯作者：马宗民