Pollen Grains
Shape and texture features extracted from pollen grains
This dataset includes inputs which are shape and texture features extracted from microscopical images of pollen grains in the air. The classes are the plant species (Parietaria Judaica, Urtica Urens and Urtica Membranacea). The dataset has:
- 291 instances
- 23 inputs
- 3 classes
The data are in the file pollen_grains.dat. Each input is standarized with mean zero and standard deviation one. The file partitions.dat includes 10 groups of 3 lines, each group associated to a random partition of the available data. The first line in each group contains the indices of the training patterns (50% of the patterns); the second line contains the indices of the validation patterns (25% of the patterns); the third line contains the indices of the test patterns (25% of the patterns).
Recommended citation
@article{rodriguez06,
author = "Rodr\'iguez-Dami\'an, M. and Cernadas, E. and Formella, A. and Fern\'andez-Delgado, M. and S\'a-Otero, P.",
title=”{Automatic detection and classification of grains of pollen based on shape and texture}",
journal="IEEE Trans. Syst. Man Cybern., Part C",
volume = 36,
issue = 4,
pages="531—542",
year=2006
}