Orbits generated lattice algorithm of learning subspace in Lie-group Machine Learning(LML)
Fanzhang Li · Computer Engineering and Applications Journal · 2007
In this paper,we propose the orbits generated lattice of learning subspace in Lie-group Machine Learning(LML) and its corresponding basic conceptions,which include sample set in Lie-group machine learning,orbits generated lattices theory and algorithm.Synchronously,this paper analyzes the example and compares its results with those of the C4.5 decision tree learning algorithm,from which we find our algorithm is much superior to C4.5 in validity of categorization,thus it can be believed that the theory is feasible and the algorithm is valid.