Information Compression, Structure Analysis, and Decision Making with a Correlation Matrix.
Interim scientific rept. no. 11,
MICHIGAN STATE UNIV EAST LANSING DIV OF ENGINEERING RESEARCH
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Correlation functions have spawned a wide variety of data processing methods in a number of scientific disciplines. Under the broad umbrella of pattern recognition methodology, this report summarizes and coordinates several digital computer algorithms, all based on correlation matrices, for reducing the size of a data matrix and for producing algorithms which classify patterns. Each row of the data matrix represents a pattern and each column represents a feature. Correlation-based cluster-seeking algorithms which provide information used in choosing a decision-making strategy are also discussed. Author
- Computer Programming and Software