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netlogo-cluster-viewer's Introduction

netlogo-cluster-viewer

This NetLogo 3D model can be used to view data clusters in 3D renderings of datasets and arbitrary latent representations.

Requirements

Current features:

  • reads a file line-by-line and displays points; each line should containt: CLASS X Y Z, where:
    • CLASS: is a positive integer encoding a class label, or -1 for n/a.
    • X, Y, Z: are coordinats in 3D space.
  • partitioning of input space (only a cube is displayed)
    • the cube's center can be dynamically adjusted
    • the size of the cube can also be adjusted dynamically

Planned features:

  • support for arbitrarily many input points
  • dynamic zoom in/out
  • reporting distances in various metrics
  • Voronoi tessellation
  • dbscan clustering
  • support for higher-dimensional inputs via Barnes-Hut-SNE
  • communication between simulations of various partitions

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