Mass: Mueen's Algorithm for Similarity Search.

In shapelets/khiva-r: KHIVA-R library.

Description

The result has the following structure: - 1st dimension corresponds to the index of the subsequence in the time series. - 2nd dimension corresponds to the number of queries. - 3rd dimension corresponds to the number of time series.

Usage

Mass(query, tss)

Arguments

query	KHIVA Array whose first dimension is the length of the query time series and the second dimension is the number of queries.
tss	KHIVA Array whose first dimension is the length of the time series and the second dimension is the number of time series.

Details

For example, the distance in the position (1, 2, 3) correspond to the distance of the third query to the fourth time series for the second subsequence in the time series.

[1] Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh (2016). Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets. IEEE ICDM 2016.

Value

KHIVA Array with the distances.

shapelets/khiva-r documentation built on June 10, 2019, 4:58 a.m.