Sentence examples for multivariate filter method from inspiring English sources

ReliefF, the classifier-independent multivariate filter method, has worse performance than univariate filter methods in most cases; however, ReliefF-based wrapper methods show performance similar to their t-test-based counterparts.

On the other hand, efficient time multivariate filter method finds features which are relevant to the class and non-redundant among themselves.

The Relief method [ 6] is a multivariate filter method that has been applied to SNP data to rank SNPs.

To overcome this limitation, this paper has investigated and compared three well-known multivariate filter methods to determine a minimal subset of relevant and non-redundant features.

For all the multivariate filter methods, the top 25 features were incrementally included one by one to develop the decision model of support vector classifier (SVC) using 10-fold cross-validation.

Multivariate filter methods model correlations and dependencies among the features; they are computationally somewhat slower and may be less scalable to high-dimensional data.

Thus, we have preferred most widely used multivariate filter feature selection methods namely Bhattacharya distance measure [39], ratio of scatter matrices [40], and LR [41] for selecting relevant and non-redundant features.

As an option, a multivariate filter was used to reduce the colinearity among features of the microarray dataset, prior to the application of the wrapper method.

On the other hand, a multivariate filter, such as CFS [ 15, 16], considers feature interactions and therefore does not evaluate features independently, which is sometimes referred to as space search methods [ 17].

In the next step, the TMPs were filtered by the consensus filter method described in Methods.

The subset was calculated using a multivariate filter called correlation feature selection (18).