UCR Time Series Classification/Clustering page

Eamonn Keogh just posted this announcement:

We are please to announce a new resource for researchers working on time series classification and clustering.

The UCR Time Series Classification/Clustering page has the largest collection of test datasets (with objective class labels) in the world.

Furthermore, in order encourage research that is both reproducible and comparable to other works, we have created training/test data splits, and listed results for some standard benchmarking algorithms such as Euclidean Distance and Dynamic Time Warping.

We have also made Matlab code available that allows all results to be exactly reproduced.

The page is located here: http://www.cs.ucr.edu/~eamonn/time_series_data/

We encourage donations of datasets/results and suggestions/bug fixes.

Published by

Daniel Lemire

A computer science professor at the University of Quebec (TELUQ).

Leave a Reply

Your email address will not be published.

To create code blocks or other preformatted text, indent by four spaces:

    This will be displayed in a monospaced font. The first four 
    spaces will be stripped off, but all other whitespace
    will be preserved.
    Markdown is turned off in code blocks:
     [This is not a link](http://example.com)

To create not a block, but an inline code span, use backticks:

Here is some inline `code`.

For more help see http://daringfireball.net/projects/markdown/syntax

You may subscribe to this blog by email.