… , we will describe IVGAVQ where each variable group is modeled using a … variable group
leaving out the group index g. The vector quantization model used for a single variable group …

… algorithm for grouping of variables that is based on dependencies between the variables. …
a computational modeling approach called independent variable group analysis (IVGA) by …

… (IVGA) is a method for grouping dependent variables together while keeping mutually
independent or weakly dependent variables in separate groups. In this paper two variants of an …

… In this paper, a new method for gene selection based on independent variable group analysis
is proposed. In this method, we first used t-statistics method to select a part of genes from …

… We describe the Independent Variable Group Analysis (IVGA… set, also discovers a grouping
of the input variables that reflects … seem to find independent subsets of variables. Moreover, it …

… have been based on the condition that the independent variable is dichotomous or …
independent variable (such as two or more experimental conditions relative to a control group). We …

… but many independent variables. While this paper will focus on the analysis of herd level …
information from a group of related independent variables (eg variables dealing with flooring…

… For the purposes of the analysis of variance, one group is randomly chosen to furnish the
data for one level of the independent variable and the other group is chosen to furnish the data …

… In applied behavior analysis, control of the independent variable is also more difficult than
in an animal laboratory. It thus may be surprising to note that the methodological rigor applied …

… of the analysis was to determine the relative individual importance of several independent
fac… analyzing variation in birth weight and length of gestation in a group of Baltimore Negro …