| freshwater_fish.int | R Documentation |
Interval-valued dataset of heavy metal concentrations in organs and tissues of 12 freshwater fish species, grouped into 4 feeding categories (Carnivores, Omnivores, Detritivores, Herbivores). Contains 13 interval-valued variables measuring metal concentrations in organs and organ-to-muscle ratios.
data(freshwater_fish.int)
A data frame with 12 observations and 14 variables:
body_length: Body length (cm).
body_weight: Body weight (g).
muscle: Metal concentration in muscle tissue.
intestine: Metal concentration in intestine.
stomach: Metal concentration in stomach.
gills: Metal concentration in gills.
liver: Metal concentration in liver.
kidney: Metal concentration in kidney.
liver_muscle_ratio: Liver-to-muscle concentration ratio.
kidney_muscle_ratio: Kidney-to-muscle concentration ratio.
gills_muscle_ratio: Gills-to-muscle concentration ratio.
intestine_muscle_ratio: Intestine-to-muscle concentration ratio.
stomach_muscle_ratio: Stomach-to-muscle concentration ratio.
class: Feeding category (Carnivores, Omnivores, Detritivores, Herbivores).
| Sample size (n) | 12 |
| Variables (p) | 14 |
| Subject area | Biology |
| Symbolic format | Interval |
| Analytical tasks | Clustering |
https://github.com/Natandradesa/Kernel-Clustering-for-Interval-Data
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.
data(freshwater_fish.int)
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