https://store-images.s-microsoft.com/image/apps.4196.50941c6b-152e-4d21-94c8-c7137f0903c8.e769d3b8-2545-4ff1-8346-13632bd124e3.d1f292cb-b27f-420c-a3af-9cb0c7da93b1
Clustering using OPTICS by MAQ Software
by MAQ LLC
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 support@maqsoftware.com.
Visual capabilities
When this visual is used, it
- Can access external services or resources
At a glance
https://store-images.s-microsoft.com/image/apps.14493.50941c6b-152e-4d21-94c8-c7137f0903c8.e769d3b8-2545-4ff1-8346-13632bd124e3.ee6db6fa-ab0c-4111-bca2-c47666fe1730
https://store-images.s-microsoft.com/image/apps.14493.50941c6b-152e-4d21-94c8-c7137f0903c8.e769d3b8-2545-4ff1-8346-13632bd124e3.ee6db6fa-ab0c-4111-bca2-c47666fe1730
https://store-images.s-microsoft.com/image/apps.59515.50941c6b-152e-4d21-94c8-c7137f0903c8.e769d3b8-2545-4ff1-8346-13632bd124e3.75c7514d-ff65-492f-9ee1-5f0510b51d56
https://store-images.s-microsoft.com/image/apps.31176.50941c6b-152e-4d21-94c8-c7137f0903c8.e769d3b8-2545-4ff1-8346-13632bd124e3.86175a59-64af-4c76-a837-95f7b015a557
