Significats de base clustering en anglès

We propose here a multi level SOM based clustering algorithm named Multi-SOM.

This age- based clustering suggests that alteration processes may affect community structure.

A model- based clustering algorithm was used to derive neurobehavioural profiles from NNNS scores.

These clusters are obtained using a density- based clustering method.

The algorithm for ICH primary region segmentation uses the spatially weighted K-means histogram- based clustering algorithm.

A partial co-relationship among the isolates was established on the basis of morphological and molecular based clustering.

Denaturating gradient gel electrophoresis band- based clustering revealed differences between glaciers in terms of dominant bacterial taxa structure.

The performance of three such methods-BayesianClassification, Hypergraph-BasedClustering, and Fuzzy k-ModesClustering-appropriatefor categorical data were compared.

Both distance and model- based clustering methods showed significant genetic homogeneity between these two populations, suggesting a common biological ancestry.

To identify differentially expressed genes, we applied model- based clustering to a linear combination of the random gene x variety interaction effect.

PMID: 27638108 In addition, an adaptive probability threshold and a k-means based clustering technique have been integrated in the proposed enhanced RW algorithm.

We propose a new approach based on a centre- based clustering procedure to cluster populations into groups following rules of geographical proximity and genetic similarity.

Significance was discovered by statistical analysis as well as a neural network- based clustering approach which identified unusual cell subsets overlooked by conventional manual gating.