Classifying variables

A New Approach for Classifying Large Number of Mixed Variables

The issue of classifying objects into one of predefined groups when the measured variables are mixed with different types of variables has been part of interest among statisticians in many years. Some methods for dealing with such situation have been introduced that include parametric, semi-parametric and nonparametric approaches. This paper attempts to discuss on a problem in classifying a dat...

Beyond Induction Variables: Detecting and Classifying Sequences Using a Demand-driven SSA Form

Linear induction variable detection is usually associated with the strength reduction optimization. For restructuring compilers, eeective data dependence analysis requires that the compiler detect and accurately describe linear and nonlinear induction variables as well as more general sequences. In this paper we present a practical technique for detecting a broader class of linear induction var...

Classifying pentavalnet symmetric graphs of order $24p$

A graph is said to be symmetric if its automorphism group is transitive on its arcs. A complete classification is given of pentavalent symmetric graphs of order 24p for each prime p. It is shown that a connected pentavalent symmetric graph of order 24p exists if and only if p=2, 3, 5, 11 or 17, and up to isomorphism, there are only eleven such graphs.

Classifying Conditionals

Classifying Facial

The Facial Action Coding System, (FACS), devised by Ekman and Friesen (1978), provides an objective means for measuring the facial muscle contractions involved in a facial expression. In this paper, we approach automated facial expression analysis by detecting and classifying facial actions. We generated a database of over 1100 image sequences of 24 subjects performing over 150 distinct facial ...