water_flow.int: Water Flow Sensor Readings Interval Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Water Flow Sensor Readings Interval Dataset

Description

Large interval-valued dataset of water flow sensor readings with 316 observations and 47 interval-valued feature variables (IF1-IF48, excluding IF17), classified into 2 groups. Used as a benchmark for interval data clustering with high-dimensional features.

Usage

data(water_flow.int)

Format

A data frame with 316 observations and 48 variables:

• if1 through if48 (excluding if17): 47 interval-valued sensor feature measurements.

• class: Group label (1 or 2).

Metadata

Sample size (n)	316
Variables (p)	48
Subject area	Engineering
Symbolic format	Interval
Analytical tasks	Clustering

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(water_flow.int)

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