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Clustering using OPTICS by MAQ Software


Use the density-based clustering algorithm OPTICS to analyze groups within a dataset.

Clustering using OPTICS by MAQ Software analyzes and identifies data clusters. The algorithm relies on density-based clustering, allowing users to identify outlier points and closely-knit groups within larger groups. This visual includes adjustable clustering parameters to control hierarchy depth and cluster sizes. R package dependencies (auto-installed): Dbscan, plotly, ggplot2.

Key features:

  • Data is scaled and pre-processed automatically, eliminating the need to do so externally.
  • Hover tooltips and zoom effects.
  • Capability to manually adjust the parameters of the clustering model.

For any feature requests or questions about this visual, please send an e-mail to our team at

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