Title
Canonical correlation analysis: use of composite heliographs for representing multiple patterns
Abstract
In a study of crew interaction with the automatic flight control system of the Boeing 757/767 aircraft, we observed 60 flights and recorded every change in the aircraft control modes, as well as every observable change in the operational environment. To quantify the relationships between the state of the operating environment and pilots' actions and responses, we used canonical correlation because of its unique suitability for finding multiple patterns in large datasets. Traditionally, the results of canonical correlation analysis are presented by means of numerical tables, which are not conducive to recognizing multidimensional patterns in the data. We created a sun-ray-like diagram (which we call a heliograph) to present the multiple patterns that exist in the data by employing Alexander's theory of centers. The theory describes 15 heuristic properties that help create wholeness in a design, and can be extended to the problem of information abstraction and integration as well as packing of large amounts of data for visualization.
Year
DOI
Venue
2006
10.1007/11783183_11
Diagrams
Keywords
Field
DocType
automatic flight control system,aircraft control mode,observable change,composite heliograph,operating environment,large datasets,operational environment,canonical correlation analysis,large amount,multiple pattern,canonical correlation
Data mining,Information integration,Data visualization,Heuristic,Visualization,Canonical correlation,Algorithm,Automatic control,Online analytical processing,Canonical analysis,Mathematics
Conference
Volume
ISSN
ISBN
4045
0302-9743
3-540-35623-1
Citations 
PageRank 
References 
4
0.41
2
Authors
3
Name
Order
Citations
PageRank
Asaf Degani1706.86
Michael Shafto2111.70
Leonard Olson340.75