Automated clustering of records, biased by supervised...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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Reexamination Certificate

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07849027

ABSTRACT:
An unsupervised classification approach is improved by imposing some order into the treatment of the records and their attributes, which otherwise would be treated as random variables. A method is provided to identify particular attributes that are most associated with the “good” records within each of the plurality of groups of records within a data set. Based on a supervised scoring method, the records of the data set are processed to indicate their measure of “goodness”. There are various ways by which the records can be processed to indicate a bias during unsupervised clustering processing.

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