The Vehicle dataset

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Description

This is the Vehicle dataset from the UCI Machine Learning Repository

Usage

1

Format

A data frame with 846 observations on the following 19 variables.

V1

Compactness

V2

Circularity

V3

Distance Circularity

V4

Radius ratio

V5

pr.axis aspect ratio

V6

max.length aspect ratio

V7

scatter ratio

V8

elongatedness

V9

pr.axis rectangularity

V10

max.length rectangularity

V11

scaled variance along major axis

V12

scaled variance along minor axis

V13

scaled radius of gyration

V14

skewness about major axis

V15

skewness about minor axis

V16

kurtosis about minor axis

V17

kurtosis about major axis

V18

hollows ratio

V19

Type of vehicle: a double decker bus, Cheverolet van, Saab 9000 and an Opel Manta 400.

Source

The UCI Machine Learning Database Repository at:

Examples

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#----feature selection using sequential floating selection with LDA----
data(vehicle)
mahaout(vehicle,nclass=3)

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