vehicle: Vehicle data

In RobStatTM: Robust Statistics: Theory and Methods

Vehicle data

Description

The original data set contains an ensemble of shape feature extractors to the 2D silhouettes of different vehicles. The purpose is to classify a given silhouette as one of four types of vehicle, using a set of 18 features extracted from the silhouette. Here we deal with the "van" type, which has 217 cases. 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

Usage

data(vehicle)

Format

An object of class "data.frame".

Details

Format: Numeric, 217 rows and 18 columns.

Source

Turing Institute, Glasgow, and are available at https://archive.ics.uci.edu/ml/datasets/Statlog+(Vehicle+Silhouettes).

Examples

data(vehicle)

RobStatTM documentation built on Nov. 28, 2023, 1:11 a.m.