Sentence examples for grouping of data points from inspiring English sources

In the case of reconstructed verdigris egg oil emulsion paint films submitted to biodeterioration, the plots of i p(C2)/i p(C1) vs. (i p(C3) + i p(C4))/i p(C1) (Fig. 15a) and i p(A1′)/i p(A1′′) vs. (i p(C3) + i p(C4))/i p(C1) (Fig. 10b) provide a grouping of data points consistent with linear dependences between the above pairs of peak current ratios (dotted lines in Fig. 15).

This means that it is possible to identify from the loadings plot which spectral regions and thus which chemical compounds are responsible for any grouping of data points observed in the scores plot.

A group of data points from wet landfills cells with short-term data were also analyzed.

A line segment sequencing algorithm is proposed for collecting feature line segments into different feature sequences as well as sequential groups of data points.

The graph-based algorithms could preserve the natural groups of data points by selected this cut point.

This is a standard statistical test for categorical data comparison, which evaluates the difference between the numbers of observations (evaluations) in groups of data points (categories).

Data-driven methods are based on the data itself, only use statistics, mainly focus on finding outliers in a group of data points and determine the data quality by the number of outliers.

It is clearly shown that the graph clustering-based discretization algorithms give a finite number of cut points, prevent an unnatural bias for undesiredly partitioning out some data points, and preserve the natural groups of data points.

If we consider any finite group of data points, an elementary proof reveals that there are an infinite number of distinct mathematical functions describing different curves that will pass through all of them.

A data observation or a group of data points that are well separated from the majority of the whole pattern of observation, in other words, data that deviate from the general pattern, are called outliers.

Two to five observations were made with each phone from each location, and this explains the groups of data points visible in the image and gives an indication of the repeatability of the observations and differences between cameras.