Sentence examples for multidimensional data sets from inspiring English sources

This makes maximum likelihood estimation feasible for large multidimensional data sets.

This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams.

Data visualization techniques have become important tools for analyzing large multidimensional data sets and providing insights with respect to scientific, economic, and engineering applications.

Here we discuss the technical aspects related to 2P microscope design, explain in detail various tissue imaging preparations, and walk the reader through the often daunting process of analyzing multidimensional data sets and presenting the experimental results.

Non-static change of projections in multidimensional data sets is used.

(a) Evolution of multidimensional data sets and their sizes over the last decade.

A multidimensional data set composed of size, shape and distribution related metrics of cellular and sub-cellular focal adhesions is extracted to build a classifier that can, with 91-93% classification accuracy, distinguish cell shape phenotypes in 3D confined versus 2D unconfined cell states.

Centering shifts the origin of the coordinate axes in the gravity center of the multidimensional data set.

Perhaps the easiest way to visualize a multidimensional data set is through principal component analysis (PCA), an approach previously reported for various applications in electron and force-based scanning probe microscopy data [35-41] [35-41]

Different from the conventional ANN, SOM-based models represent a multidimensional data set by means of a bidimensional matrix of features, which may be applied for analysis and estimation purposes.

If the CA method is used for samples grouping original variables, PCA estimates the correlation structure of the variables by finding hypothetical new variables (principal components - PC) that account for as much as possible of the variance (or correlation) in a multidimensional data set.