 | MPClusterFind clusters in your Microsoft® MapPoint® data points. |
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MPCluster Ranking & Summary
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- License:
- Shareware
- Price:
- Free to try
- Publisher Name:
- By Winwaed Software Technology
- Publisher web site:
- Operating Systems:
- Windows, Windows XP, Windows Vista, Windows 7
- Additional Requirements:
- Microsoft MapPoint 2006-2011 and Microsoft .NET Framework version 4.0 or later.
- File Size:
- 4.8 MB
- Total Downloads:
- 53
MPCluster Tags
- analysis MapPoint Cluster Server Cluster Recovery Recover Cluster Cluster MapPoint Image receive datasets archive datasets cluster modulation cluster bass create cluster cluster generator make cluster Microsoft MapPoint Cluster Map cluster detector detect cluster Cluster Quorum Restore Cluster Quorum Cluster Chain MapPoint Add-in MPI Cluster Debugger MapPoint Web Service Compute Cluster Server session cluster cluster size cluster translator Hierarchical Cluster Analysis database cluster JDBC cluster microarray cluster cluster compiler MPI cluster view large-datasets monophyletic cluster Cluster Analysis Analyze Cluster Cytoscape Cluster cluster .Net adobe flash player microsoft works task resco photo viewer lg optimus one aim express toolbar antivirus freedownload nokia ccleaner mobi n70 screensavers clock jetphoto studio 4.6.2 picvideo v2 pc games upto best electrical autocad
MPCluster Description
MPCluster -Find clusters in your Microsoft® MapPoint® data points.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 : - 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 can be written to a Microsoft Excel workbook.
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