dataSDA (version 0.1.8)

oils.int: Oils and Fats Interval Dataset

Description

Classic benchmark interval-valued data for 8 oils and fats described by 4 physico-chemical properties. Originally from Ichino (1988).

Usage

data(oils.int)

Format

A data frame with 8 observations and 4 interval-valued variables:

• specific_gravity: Specific gravity of the oil/fat.

• freezing_point: Freezing point (degrees Celsius).

• iodine_value: Iodine value.

• saponification_value: Saponification value.

Details

The 8 samples are: Linseed oil, Perilla oil, Cottonseed oil, Sesame oil, Camellia oil, Olive oil, Beef tallow, Hog fat. The expected 3-cluster structure is: {Beef tallow, Hog fat}, {Cottonseed, Sesame, Camellia, Olive}, and {Linseed, Perilla}. Widely used for comparing clustering methods and distance measures in symbolic data analysis.

References

Ichino, M. (1988). General metrics for mixed features. Proc. IEEE Conf. Systems, Man, and Cybernetics, pp. 494-497.

Diday, E. and Noirhomme-Fraiture, M. (Eds.) (2008). Symbolic Data Analysis and the SODAS Software. Wiley. Table 13.7, p.253.

Examples

data(oils.int)