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There are four (4) levels of proprietary tools:

  1. Linear Array: An efficient Self-Organizing algorithm that reduces many Data Dimensions down to 1-dimension.
  2. Zen: Adaptively and efficiently reduces a multi-Dimensional Data Set down to a 1-Dimensional array at any resolution.
  3. HyperSphere: An N-Dim sphere whose surface is navigated to discover all N-Dimensional Data Clusters, i.e., the original Data Set is not reduced to a lower dimension.
  4. SpiderClusters©: Logical extension of the Statistical Paradigm. An n-Dim analysis that reduces the effects of Random Noise without averaging. The main focus of this tool is to locate and measure n-Dim Data Clusters thereby extending normal 2-Dim Data Clusters. (View a SpiderCluster© tutorial as a PowerPoint Show file [.pps]).

Notes/Demos


This page will be updated as necessary.