Significats de dimensional data en anglès

These methods exploit structure in higher dimensional data arrays called tensors.

However, in the context of high- dimensional data the application of CCA is extremely challenging.

Nonparametric methods have generated intense interest because of their capacity to handle high- dimensional data.

Main outcome measures: Tumor size was measured by use of two- dimensional data in all patients.

Integrated analysis of high- dimensional data can thus unravel immune alterations predisposing to complex inflammatory diseases.

In this applications note, we introduce spathial, an R package for navigating high- dimensional data spaces.

The focus of our work is on class prediction based on high- dimensional data (e.g.

A Selspot II System was used for three- dimensional data acquisition, processing and reconstruction of limb trajectories.

We discuss some of the analytical approaches applied to extract biological knowledge from high- dimensional data sets.

Conventional analytic approaches struggle with high- dimensional data, leading to high likelihoods of both false-positive and false-negative inferences.

Hierarchical cluster analysis allows visualization of high dimensional data and enables pattern recognition and identification of physiologic patient states.

The method transforms multidimensional gene expression patterns into two dimensional data landscapes, which resemble the metaphoric Waddington epigenetic landscape.

In conclusion, this paper describes the pathobiology of lung diseases from systems viewpoint using pathway centered high- dimensional data mining approach.

Data-driven approaches apply machine-learning methods to high- dimensional data to improve classification of disease, predict treatment outcomes or improve treatment selection.

Each hold he touches measures split times and the drones tracking him provide three dimensional data relayed to his coach.

However, existing PU classification methods typically require an accurate estimate of the class-prior probability, a critical bottleneck particularly for high- dimensional data.