Swarm Behaviour
Donated on 6/15/2020
This dataset achieved from an online survey, which is run by UNSW, Australia. It contains three data of ' Flocking - Not Flocking', 'Aligned - Not Aligned', and 'Grouped - Not Grouped'.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
24017
# Features
2400
Dataset Information
Additional Information
To access the survey, please use the following link: https://unsw-swarm-survey.netlify.com/
Has Missing Values?
No
Variable Information
The attributes are xm, ym as the (X,Y) position of each boid, xVeln, yVeln as the velocity vector, xAm, yAm as the alignment vector, xSm, ySm as the separation vector, xCm, yCm as the cohesion vector, nACm as the number of boids in the radius of Alignment/Cohesion, and nSm as the number of boids in the radius of Separation. These attributes are repeated for all m boids, where m=1,...,200. Also, class labels are binary, which 1 refers to flocking, grouped, and aligned, and 0 refers to not flocking, not grouped, and not aligned.
Dataset Files
| File | Size |
|---|---|
| Swarm Behavior Data/Aligned.csv | 230.5 MB |
| Swarm Behavior Data/Flocking.csv | 230.5 MB |
| Swarm Behavior Data/Grouped.csv | 230.5 MB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset swarm_behaviour = fetch_ucirepo(id=524) # data (as pandas dataframes) X = swarm_behaviour.data.features y = swarm_behaviour.data.targets # metadata print(swarm_behaviour.metadata) # variable information print(swarm_behaviour.variables)
Swarm Behaviour [Dataset]. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C5N02J.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.