Sentence examples for distance of the data from inspiring English sources

To determine if a data point belongs to multiple clusters, consider the distance of the data point to each cluster center.

Some of the criteria that can be defined are the datacentres where replicas should reside, the number of replicas, the distance of the data to their clients, and the distance among replicas.

where ||z k - v i ||2 is the chosen distance measure between a data point z k and the cluster v i is an indicator of the distance of the data points from their cluster prototypes.

Such metric is based on the Mahalanobis distance of the data points from each cluster center ({mathbf {c}}_i), computed using an estimator of the covariance matrix of the corresponding ith cluster.

Classification is performed by determining the Euclidian distance of the data set to the n-1 dimensional maximal margin hyperplane (absolute value of the normal vector) and the direction of the vector (class 1 or class 2).

We then defined δε, a measure of divergence in gene expression as the absolute value of the orthogonal distance of the data point from the leading PCA line.

The lower bounding function computes the sum of the distances of the data points of C beyond the envelope of Q.

Note that the optimal line in this procedure corresponds roughly, i.e. up to the effects of the rotationally-invariant prior, to the line that minimizes the sum of the squared orthogonal distances of the data points to the line.

Multiple linear regression models are evaluated based on the sum of squared errors which shows the average distance of the predicted data points to the observed data values.

The reason why different authors proposed different curve shapes for the relationship between deposition and distance may be explained by the different distance ranges of the data used in the analyses.

Fig. 5 Comparison of the Euclidean distance (x axis) of the original data and the normalized Hamming distance of the embedded data (y axis).