mfeat-morphological

From MaRDI portal
Revision as of 12:26, 16 April 2024 by Import240416010454 (talk | contribs) (Created automatically from import240416010454)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Dataset:6032871



OpenML18MaRDI QIDQ6032871

OpenML dataset with id 18

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/18/mfeat-morphological.arff

Upload date: 6 April 2014



Dataset Characteristics

Number of classes: 10
Number of features: 7 (numeric: 6, symbolic: 1 and in total binary: 0 )
Number of instances: 2,000
Number of instances with missing values: 0
Number of missing values: 0

Author: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology Source: UCI - 1998 Please cite: UCI

Multiple Features Dataset: Morphological One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same original character. 200 instances per class (for a total of 2,000 instances) have been digitized in binary images.

In this dataset, these digits are represented in terms of 6 morphological features.

Attribute Information

The meaning of the features is mostly unknown. They are never named in the original files, and the paper only talks about 'morphological features, such as the number of endpoints'.

Relevant Papers

A slightly different version of the database is used in M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386.

The database as is is used in: A.K. Jain, R.P.W. Duin, J. Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence archive, Volume 22 Issue 1, January 2000






This page was built for dataset: mfeat-morphological