Sentence examples for most commonly cluster from inspiring English sources

Most commonly cluster analysis methods are used to classify the individual particle mass spectra on the basis of their similarity.

In progressing an agenda of exploration and analysis of the process of higher level community participation, our definition of higher level utilised Arnstein's [ 29] categories of partnership, delegated power and citizen control, most commonly clustered as 'citizen power'.

Cluster analysis can classify samples into corresponding groups based on the measured parameters, and hierarchical cluster analysis (HCA) is the most commonly used clustering tool[13, 14].

A simulation was conducted to evaluate our method and compare it with the most commonly used clustering methods.

The most commonly used clustering method, k-means, is introduced to identify the subgroups and a possibility distribution based hesitant fuzzy element (PDHFE) is employed to represent each cluster preference.

K-means with a rich and diverse history as it was independently discovered in different scientific fields (Steinhaus 1956; Lioyd, proposed in 1957 but published in 1982; Ball and Hall 1965; MacQueen 1967) is one of the most commonly used clustering algorithms that was applied by Journel and Zhang (2006) in the multiple-point simulation approaches to partition the obtained normal filter scores.

This five-component mechanism underpins most commonly used clustering methods.

The most commonly applied clustering algorithms were hierarchical in nature (7 papers).

By identifying both kinds of relationships, POBN is able to detect relationships between genes that are not possible to detect using linear methods or most commonly used clustering methods.

Here we use the hierarchical agglomerative approach; the most commonly used clustering approach, which has been demonstrated to be a useful tool in discovering sub-structures inherent in a given data set.

Of the handful of approaches typically used to discover species limits using genetic data, thresholds based on pairwise sequence distances among individuals are perhaps most commonly applied to cluster sequences into putative species [ 5, 17].