Data classifier using learning-formed and clustered map

Details Data classifier using learning-formed and clustered map Data classifier using learning-formed and clustered map

2006-10-10

2006-10-10

Starks, Jr., Wilbert L. (Department: 2129)

Data processing: artificial intelligence

Adaptive system

C706S046000, C382S228000

Reexamination Certificate

active

07120614

ABSTRACT:
A data classifier performs a data classification process using prototypes classified into clusters. A prototype map is formed using mapping means and clustering means. The mapping means forms, through learning, a prototype map by adjusting coupling weights between a plurality of prototypes provided in a map space based on a plurality of input data. The clustering means calculates a predetermined measure between the prototypes and classifies the prototypes into a plurality of clusters based on the measure.

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