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Synthetic Circle Data Set

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.

Classification, Clustering

Multivariate

10K Instances

2 Features

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