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 NameRoleTypeDescriptionUnitsMissing Values
Variable 1FeatureContinuousno
Variable 2FeatureContinuousno
Variable 3TargetIntegerno

0 to 3 of 3

Dataset Files

FileSize
circles.txt209.6 KB

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download (95.1 KB)
1 citations
344 views

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy