car_models.int: Italian Car Models Interval Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Italian Car Models Interval Dataset

Description

Interval-valued specifications for 33 Italian car models, classified into 4 categories (Utilitaria, Berlina, Ammiraglia, Sportiva). An extended version of the classic cars interval dataset with 8 interval-valued variables including dimensions.

Usage

data(car_models.int)

Format

A data frame with 33 observations and 9 variables:

• price: Price range (currency units).

• engine_cc: Engine displacement range (cc).

• top_speed: Top speed range (km/h).

• acceleration: Acceleration range (seconds 0-100 km/h).

• wheelbase: Wheelbase range (cm).

• length: Length range (cm).

• width: Width range (cm).

• height: Height range (cm).

• class: Car category (Utilitaria, Berlina, Ammiraglia, Sportiva).

Metadata

Sample size (n)	33
Variables (p)	9
Subject area	Automotive
Symbolic format	Interval
Analytical tasks	Clustering, Classification

Source

https://github.com/Natandradesa/Kernel-Clustering-for-Interval-Data

References

Andrade, N. A., de Carvalho, F. A. T. and Pimentel, B. A. (2025). Kernel clustering with automatic variable weighting for interval data. Neurocomputing, 617, 128954.

Examples

data(car_models.int)

dataSDA documentation built on June 12, 2026, 9:06 a.m.