Clustering using OPTICS by MAQ Software - Power BI Visual Introduction
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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 [email protected].