关键词: 不规则时间序列, 距离, 聚类, 数据挖掘

Abstract: Focused on the present status that the algorithm of measuring time series distance is many but the appropriate algorithm of measuring nonuniform time series is not available，the paper puts forward an algorithm of measuring nonuniform time series distances based on the ideal of searching minimal distance of the side collection which is constructed by the global points of series.Both the algorithm realization of creating event series and that of measuring nonuniform time series distances are given out.Finally，the algorithms are tested by the data from UCI KDD for time series testing.The test result proves that the algorithm of measuring nonuniform time series distances can effectively reflect the similarities of nonuniform time series.

Key words: nonuniform time series, distance, clustering, data mining