Sentence examples for dimensional data is from inspiring English sources
One of the most widely-used procedures for dimensionality reduction of high dimensional data is Principal Component Analysis (PCA).
Clustering with fast algorithms large samples of high dimensional data is an important challenge in computational statistics.
Although deep learning will not be a panacea, it has huge potential in many clinical areas where high dimensional data is mapped to a simple classification and for which datasets are potentially stable over extended periods.
When high throughput, high dimensional data is available, it becomes possible to characterize differences not only in the level of the biomolecules, but also in the molecular interactions among them.
Big dimensional data is a growing trend that is emerging in many real world contexts, extending from web mining, gene expression analysis, protein protein interaction to high-frequency financial data.
Without appropriate modeling techniques, the high volume and high dimensional data is a burden rather than an advantage.
Very large high dimensional data are common nowadays and they impose new challenges to data-driven and data-intensive algorithms.
High-dimensional data is pervasive in many fields such as engineering, geospatial, and medical.
Although visualization has the potential to be a powerful aid to the modern information extraction process, visualizing high-dimensional data is an ongoing challenge.
The analysis of three-dimensional data is customarily performed by arranging eight measurements in a cubical array and representing them by the trilinear equation.
