Sentence examples for mean clustering method from inspiring English sources

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fuscidiscus accessions was constructed by the UPGMA (un-weighted pair group method with arithmetic mean) clustering method.

The trees were generated by using the UPGMA (unweighted pair-group method with arithmetic mean) clustering method of the Neighbor program of PHYLIP version 3.6 (3.6).

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Rain fall data is clustered into 4 clusters by adopting the K means clustering method.

K means clustering method which is used in this study first introduced by Macqueen (1967) is a common method used for partitioning.

This method proved to be superior to the k-means and fuzzy C means clustering methods, and has potential value in real-world applications.

Clustering is performed via competitive learning using Kohonen's adaptive rule as the above K-mean clustering method.

In the second step, such synthetic variables (spatial principal components) were used as input of the fuzzy k-mean clustering method to delineate homogeneous zones.

By taking the smallest and the greatest feature disparity as the initial centroids of intraclass and interclass, respectively, a trivial 2-mean clustering method is employed to partition the space of the 300 feature disparities into two clusters.

A new thematic map using the K-means clustering method has been built.

The k-means clustering method was employed with 4 numbers of clusters.

Using accumulated historical load data, the K-means clustering method is applied to obtain typical scenarios.

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