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Visual Clustering (SOM) Extension

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A Self-Organizing Map (SOM) is a way to represent multidimensional data in a visual two-dimensional image. It automatically groups similar data together, so that you can:

  • Get a better overview of your data.
  • Find hidden relations within the data.
  • Segment your data visually.

This helps you to:

  • Find potential customer segments to increase your sales.
  • Find common parameters for failed operations, in order to avoid them.
  • Make your data analysis faster.





Advantages

Fast and easy to deploy.

  • Full understanding of SOM is not required - use it as any other chart type.
  • No programming skills are needed - use additional tags like HTML.

Powerful data imports.

  • An easy way to connect any database as a live data source.
  • Support for CSV (character separated values) files - allows importing Excel data.
  • Different data sources can be combined.

Strong visualization methods.

  • Unified Matrix and distance based colorization for cluster detection.
  • Plane projections for surveying separate variables.
  • Fully customizable visual appearance.

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