Article ID Journal Published Year Pages File Type
416352 Computational Statistics & Data Analysis 2006 12 Pages PDF
Abstract

The SCoTLASS problem—principal component analysis modified so that the components satisfy the Least Absolute Shrinkage and Selection Operator (LASSO) constraint—is reformulated as a dynamical system on the unit sphere. The LASSO inequality constraint is tackled by exterior penalty function. A globally convergent algorithm is developed based on the projected gradient approach. The algorithm is illustrated numerically and discussed on a well-known data set.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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