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Data Set 'synthetic_spirals' - General

synthetic_spirals

Spirals1000This 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.


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Aliassynthetic_spirals
Namesynthetic/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.
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