# Adiac

The Automatic Diatom Identification and Classification (ADIAC) project was a pilot study concerning automatic identification of diatoms (unicellular algae) on the basis of images. The data was donated by Andrei Jalba, a PhD student in the project, which was finished in the early 2000s. The outlines are extracted from thresholded images. Presumably the time series are generated as distance to a reference point (the centre being the obvious candidate). The data are very sinusoidal.

Train size: 390

Test size: 391

Missing value: No

Number of classses: 37

Time series length: 176

Data donated by Andrei Jalba (see [1], [2]).

[1] Jalba, Andrei C., Michael HF Wilkinson, and Jos BTM Roerdink. "Automatic segmentation of diatom images for classification." Microscopy research and technique 65.1‐2 (2004): 72-85.

[2] http://www.timeseriesclassification.com/description.php?Dataset=Adiac