ClustEval
clustering evaluation framework
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Data Set 'synthetic_spirals' - General
synthetic_spirals
This synthetic data set consists of 250 two-dimensional data objects, distributed over two entangled spirals. Since the data set is non-convex, it is almost impossible to resolve the natural grouping for clustering methods, that are solely based on an approach maximizing between-cluster distances and minimizing within-cluster distances in the original input space. Therefore, methods that either transform the data into a more suitable space, like Spectral Clustering, or that base their cluster identification on local neighborhood similarities will be able to identify the cluster structure.
| Information | Value |
|---|---|
| Alias | synthetic_spirals |
| Name | synthetic/spirals250 |
| Description: | This synthetic data set consists of 250 two-dimensional data objects, distributed over two entangled spirals. Since the data set is non-convex, it is almost impossible to resolve the natural grouping for clustering methods, that are solely based on an approach maximizing between-cluster distances and minimizing within-cluster distances in the original input space. Therefore, methods that either transform the data into a more suitable space, like Spectral Clustering, or that base their cluster identification on local neighborhood similarities will be able to identify the cluster structure. |
| Dataset format | Data Matrix |
| Download | Click (by downloading the dataset you accept the license presented below) |
| License | |
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