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Least squares means procedure was then used to compare treatment means at each time point.

One of its fundamental disadvantages is that the output of the k-means procedure is an unorganised collection of clusters that is not always conductive to biological and physiological interpretation [ 40].

In addition, least square (LS) means procedures were used to calculate means and standard errors and pairwise t-tests for multiple comparisons were estimated by using the Tukey test.

Comparative analysis with the outputs from two popular clustering techniques K-means analysis and a two-step Factor analysis/K-means procedure are also included.

Result shows that mean Doppler velocities derived by the weighted mean procedure are close to those of the typical spectrum technique.

To define the clusters, a mixed hierarchical and non hierarchical (K-means) procedure was used and the similarity of the participants was measured by Euclidean distance.

The K-means procedure was reiterated 1000 times with random initial centroids.

Further the k-means procedure was able to combine these components into one cluster.

The significant number of DAPC groups given by the K-means procedure was C = 4 (Fig. 2A).

Therefore, if the individual mean shift procedure is guaranteed to converge, a recursive procedure of the mean shift also converges.

In the second step of this algorithm, the mean shift procedure is initialized from only these representative leaf elements resulting in modes.

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