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Gallery - Masa Takatsuka

JBean Studio - Visual Software Authoring System

Demand for effective analysis of:

  • massive amount of data

  • complex data

There is no best visualisation technique for a given data set.

Interative Visualisation:

  • Interaction among different types of visualisation techniques

  • customisable at the run-time

  • discovery of visual variable assignments.

GD-SOM - Geodesic Dome Self-Organisation Map

  • The rapid technological improvement in the fields of electronics and computing engineering

  • The increase in the amount of data and complexity of data.

  • More complex and sophisticated data analysis are demanded to solve challenging problems

More Sophisticated Analysis

  • Data mining using soft-computing (Neural Networks, Genetic Algorithms, etc.)

  • Visual Exploratory Data Analysis

  • In real-time (in the form of steering)

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Place neurons on Geodesic dome instead of a 2-D grid - no discontinuities; any point on the surface of the sphere will be represented by a neuron on the Geodosic Dome wiht an equal probability.

Visualisation of a Self-Organisation Map (SOM) in 3-D

Advantages: Real distance values can be used - different maps can be compared; no cluster boundaries are obscured by skewed distribution of distance values; the distance (in the feature space) can be measured as geodesic distances.

 

 


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School of IT, University of Sydney, Australia
Last updated: 8 October, 2007