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.
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