Sentence examples for multivariate feature from inspiring English sources

Filter approach is further classified into two categories [20] as univariate (ranking) and multivariate (feature subset).

Most of the existing approaches perform data classification based on a distance measure in a multivariate feature space.

To handle the problem of small ratio of samples to features, in this paper, we have also utilized three well-known multivariate feature selection methods viz.

3. Multivariate feature selection methods are included in Sect. 4. Description of experimental setup and results are discussed in Sect. 5. Finally, Sect.

Multivariate feature selection and/or deep learning could potentially be used to help stress these interconnections and remove features which are redundant.

To investigate the performance of different combinations of the two feature extraction and multivariate feature selection methods, experiments are performed on a publicly available EEG data [4].

Two main approaches have been used, which focus either on the amounts of variation or on covariance structures of multivariate features such as shape.

It is possible that nonparametric or multivariate feature-selection methods could yield different results.

With the relevance-based K-partition, we are now able to define a seed feature that can provide information about multivariate feature-to-feature relationships.

Other publications that compared several univariate and multivariate feature-selection methods in public cancer data sets by using 10-fold cross-validation estimates found that simple univariate feature-selection methods often outperformed more-complex multivariate approaches [ 27, 28].

In order to identify multivariate features explaining potential modifications by EPO in the cell cultures, single sample analyses were performed first (see Additional file 1).