Sentence examples for cluster means from inspiring English sources

The computed cluster means are considered as new synthetic instances.

Cluster means were compared using Tukey Kramer honestly significant difference tests.

Then a clustering algorithm is employed on all these expression patterns and the cluster means are regarded as the "prototypes".

The partition results that K-means comes up with can depend upon the randomized selection of initial cluster means.

Cluster analysis was used to combine these variables into different groups, and resulting cluster means were used to rank regional areas according to degree of environmental impact.

In essence, we ensure that the conversion function acquires appropriate mixture model parameters (i.e., cluster means and variances) so that the conversion parameters derivation is not ill-conditioned.

We show that BLUPs for linear combinations of the realized cluster means derived under such a model have considerably smaller mean squared error (MSE) than those obtained from mixed models, superpopulation models, and finite population mixed models.

This criterion, that is the ratio of the determinant of the within-cluster sums of squares and cross products matrix and that of the between clusters sums of squares and cross products matrix, is equivalent to the D-optimality criterion in the optimal design theory and related to minimization of the volume of the simultaneous confidence region of the cluster means.

Let D i = ∑d xy, (where x, y ∈ c i ) is the sum of pair-wise distances for all points in cluster i and W k is the collective within cluster sum of squares around the cluster means and is given by Eq. (1).

Those reference values were used as primary cluster means.

There were two distributional assumptions used for the cluster means.