Accession Number:

ADD020266

Title:

Data Clustering Method for Bayesian Data Reduction

Descriptive Note:

Patent application, Filed 20 Mar 2006

Corporate Author:

DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s):

Report Date:

2006-03-20

Pagination or Media Count:

43.0

Abstract:

This invention is a method of training a mean-field Bayesian data reduction algorithm BDRA based classifier which includes using an initial training for determining the best number of levels. The Mean-Field BDRA is then retrained for each point in a target data set and training errors are calculated for each training operation. Cluster candidates are identified as those with multiple points having a common training error. Utilizing these cluster candidates and previously identified clusters as the identified target data, the clusters can be confirmed by comparing a newly calculated training error with the previously calculated common training error for the cluster. The method can be repeated until all cluster candidates are identified and tested.

Subject Categories:

  • Statistics and Probability
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE