MPCluster

MPCluster identifies groups or clusters in your MapPoint data. MPCluster can then draw a boundary shape around each Cluster and/or Mark each cluster`s center with a Pushpin. MPCluster supports most of MapPoint`s different dataset types, but is typically used with pushpin (point) datasets or shaded area datasets.

MPCluster lets you set the maximum number of clusters to find. Minimum and maximum size limits can also be set for the clusters. These constraints can also be defined using a data field.

Benefits include:

- Find clusters from thousands of pushpins.
- Can work with all pushpins or just a specific pushpin set.
- Find clusters within a number of size constraints.
- Cluster centers can be weighted using a dataset data field.
- Clusters can be drawn (annotated) as boundary shapes and/or central Locations.
- Ability to manage existing cluster annotation from previous MPCluster runs.
- Cluster assignments and parameters can be written to a Microsoft Excel workbook.

Additional features, include:

- Annotation (boundary shapes) support all of MapPoint`s colors and line thickness settings.
- Ability to limit the maximum cluster radius.
- Ability to set the minimum and/or maximum number of pushpins per cluster.
- Ability to set the minimum distance Between adjacent cluster centers.
- Ability to constrain cluster sizes using a dataset data field.
- Ability to estimate the number of clusters present.
- Ability to delete the annotation from previous cluster calculation run(s).
- Ability to allocate unused data points to their nearest cluster.
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