vehicle {dprep} | R Documentation |
The Vehicle dataset
Description
This is the Vehicle dataset from the UCI Machine Learning Repository
Usage
data(vehicle)
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
#----feature selection using sequential floating selection with LDA----
data(vehicle)
mahaout(vehicle,nclass=3)
[Package
dprep version 2.0
Index]