计算机工程与应用2011，Vol.47Issue(31)：116-118,143,4.DOI:10.3778/j.issn.1002-8331.2011.31.032
时间序列相似性半监督谱聚类
Semi-supervised spectral clustering of time-series similarity
摘要
Abstract
Time series similarity is the important research direction of time series data mining.It is significant that how to make use of time series similarity to improve clustering of time series data.This paper presents a time series similarity-based semi-supervised spectral clustering algorithm.By selecting the appropriate features of time series to construct similarity and distance,the initial class is selected using tag data based on the spectral clustering algorithm.Results show the algorithm that makes time series with similar characteristics can be very effective to the same class are clustered.关键词
时间序列/半监督/方差/聚类Key words
time-series/ semi-supervised/ variance/ clustering分类
信息技术与安全科学引用本文复制引用
蔡世玉,夏战国,张文涛..时间序列相似性半监督谱聚类[J].计算机工程与应用,2011,47(31):116-118,143,4.基金项目
国家自然科学基金(the National Natural Sciene Foundation of China under Grant No.50674086) （the National Natural Sciene Foundation of China under Grant No.50674086）
高等学校博士学科点专项科研基金(No.20100095110003). （No.20100095110003）
