Modifying MUSTAFA to capture salient data

Overview

The relevant portions of data may be missed during visualization.

Large data sets can be distributed and learning applied in parallel to develop a model of interesting regions.

Learning, Creating Avatars

This data set can be used by a data mining system to create avatars.

How to Learn?

Avatar Created !!!

A Training Example

The size of the training data set was 221,936 examples

Training output

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In the following presentation shows an animated display of snapshots of the can exodus data set used for training. The training region is displayed by a probe point.

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LET US SEE HOW WELL THE AVATAR HAS LEARNED

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