vehicle: Statlog (Vehicle Silhouettes) Dataset.

In hhcartr: HHCART(G) - A Reflected Feature Space for CART

Description

The purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.

Usage

data(vehicle)

Format

A data frame with 846 rows and 19 variables:

COMPACTNESS

(average perim)**2/area.

CIRCULARITY

(average radius)**2/area.

DISTANCE CIRCULARITY

area/(av.distance from border)**2.

RADIUS RATIO

(max.rad-min.rad)/av.radius.

PR.AXIS ASPECT RATIO

(minor axis)/(major axis).

MAX.LENGTH ASPECT RATIO

(length perp. max length)/(max length).

SCATTER RATIO

(inertia about minor axis)/(inertia about major axis).

ELONGATEDNESS

area/(shrink width)**2.

PR.AXIS RECTANGULARITY

area/(pr.axis length*pr.axis width).

MAX.LENGTH RECTANGULARITY

area/(max.length*length perp. to this).

SCALED VARIANCE ALONG MAJOR AXIS

(2nd order moment about minor axis)/area.

SCALED VARIANCE ALONG MINOR AXIS

(2nd order moment about major axis)/area.

SCALED RADIUS OF GYRATION

(mavar+mivar)/area.

SKEWNESS ABOUT MAJOR AXIS

(3rd order moment about major axis)/sigma_min**3.

SKEWNESS ABOUT MINOR AXIS

(3rd order moment about minor axis)/sigma_maj**3.

KURTOSIS ABOUT MINOR AXIS

(4th order moment about major axis)/sigma_min**4.

KURTOSIS ABOUT MAJOR AXIS

(4th order moment about minor axis)/sigma_maj**4.

HOLLOWS RATIO

(area of hollows)/(area of bounding polygon).

class

4 classes, OPEL, SAAB, BUS, VAN.

Source

http://archive.ics.uci.edu/ml/datasets/statlog+(vehicle+silhouettes)

hhcartr documentation built on July 2, 2021, 9:06 a.m.