Synthetic Circle Data Set
Donated on 6/5/2024
This dataset comprises 10000 two-dimensional points arranged into 100 circles, each containing 100 points. It was designed to evaluate clustering algorithms, such as k-means, by providing a clear and structured clustering challenge.
Dataset Characteristics
Multivariate
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
10000
# Features
2
Dataset Information
Has Missing Values?
No
Introductory Paper
Local Search k-means++ with Foresight
By Theo Conrads, Lukas Drexler, Joshua Könen, Daniel R. Schmidt, Melanie Schmidt. 2024
Published in 22nd International Symposium on Experimental Algorithms (SEA 2024)
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Variable 1 | Feature | Continuous | no | ||
| Variable 2 | Feature | Continuous | no | ||
| Variable 3 | Target | Integer | no |
0 to 3 of 3
Dataset Files
| File | Size |
|---|---|
| circles.txt | 209.6 KB |
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Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset synthetic_circle_data_set = fetch_ucirepo(id=1013) # data (as pandas dataframes) X = synthetic_circle_data_set.data.features y = synthetic_circle_data_set.data.targets # metadata print(synthetic_circle_data_set.metadata) # variable information print(synthetic_circle_data_set.variables)
1 citations
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Citation
Synthetic Circle Data Set [Dataset]. (2024). UCI Machine Learning Repository. https://doi.org/10.24432/C51909.
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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.