v2.3, Release Date: 10th March 2017
•Bug Fix: Fixed theoretical problem (not seen in the wild) when calculating radii and diameters of hierarchical clusters.
v2.2, Release Date: 16th January 2017
•Bug Fix: Latitude error in hierarchical clusters and determination of boundaries (problem introduced in v2.1).
•Bug Fix: Dialog box sizing issues on some computer screens.
•Bug Fix: Rare data view change GUI crash.
•Bug Fix: Additional data field headers missing from the first cluster in the Excel output.
v2.1, Release Date: 3rd October 2016
•Bug Fix: Incorrect coordinate transformations for the southern hemisphere resulting in mis-calculations and/or crashes.
•Documentation: Added an Internet link to the Overlays page that explains them further.
v2.0, Release Date: 1st February 2016
•New Basic and Professional License levels
•New feature: Ability to add pre-defined "fixed" cluster positions to the K-Means Algorithm (Professional only)
•New feature: Ability to calculate overlay data fields (Professional only)
•New feature: Hierarchical boundary polygons are concave - reflecting the potentially concave nature of hierarchical clusters
•Improvement: Input data layers are limited to only those in the current map
•Improvement: "Reallocate empty clusters" removed for K-Means. This is now permanently enabled, as recommended since the MapPoint version.
v1.1, Release Date: 29th June 2015
•New Feature: Support for external distance tables for the Hierarchical Algorithm with Median Centers.
•New Feature: Support for Selection Sets
•Improvement: "Allocate unused points to nearest cluster" implemented for the Hierarchical Algorithm
•Improvement: Point Data View now includes a Distance (to the cluster's center) data column
•Improvement: Significant improvements to the quality of the results produced by the Hierarchical Algorithm set to use Median Centers.
•Bug fix: Improvements to the file handling of point data view
v1.0, Release Date: 1st March 2015
•Initial version of MPCluster for Maptitude
•K-Means Algorithm ported from MPCluster for MapPoint
•New feature: Hierarchical Clustering Algorithm
•New feature: Cluster allocations can be written directly to a data view