Description

This data set corresponds to a study in automatic vehicle recognition. Each of the 218 rows corresponds to a view of a bus silhouette, and contains 18 attributes of the image. It was decided to exclude variable 9 and divide the remaining variables by their MADN’s.

Usage

Format

An object of class "data.frame".

Details

Description: The following features were extracted from the silhouettes. 1. compactness 2. circularity 3. distance circularity 4. radius ratio 5. principal axis aspect ratio 6. maximum length aspect ratio 7. scatter ratio 8. elongatedness 9. principal axis rectangularity 10. maximum length rectangularity 11. scaled variance along major axis 12. scaled variance along minor axis 13. scaled radius of gyration 14. skewness about major axis 15. skewness about minor axis 16. kurtosis about minor axis 17. kurtosis about major axis 18. hollows ratio

Format: Numeric, 218 rows and 18 columns.

Source

Hettich, S. and Bay, S.D. (1999), The UCI KDD Archive http://kdd.ics.uci.edu. Irvine, CA: University of California, Department of Information and Computer Science.

Examples