Sentence examples for multivariate clustering is from inspiring English sources

The result multivariate clustering is expected to be roughly elliptical [13].

To accomplish this, k-means multivariate clustering was used to partition genotypes of accessions, F2, and RIL into 3-4 grouper(populationtion) with similar frequencies of AI or AES.

Thus, each term in a cluster is checked for a normal distribution, assuming that a multivariate cluster is one in which each term is considered normally distributed (P value greater than 0.05) [ 44].

Overall, in multivariate analysis, clustering was significantly associated with Caucasian origin, infection through homosexual contact and younger age (all p < 0.001).

The clustering is made by the use of multivariate methods.

Multivariate cluster analysis is used, more specifically, the Grade of Membership method, to group firms with similar characteristics and evaluate their pattern of interaction with universities and research institutes.

In multivariate modeling, adjusting for clustering was associated with a 6.7 times higher odds of inclusion of any type of specialist on the team (P = 0.08).

Multivariate analysis revealed that our clustering was a predictor of recurrence and was independent of histological grade, macroscopic configuration, vascular involvement and renal vein tumor thrombi (Table II).

Mixture model-based clustering was performed using multivariate Gaussian distributions with an eigen-decomposed covariance structure [ 24, 25].

PCA and hierarchical clustering were performed for unsupervised multivariate statistical analysis.

Principle component analysis (PCA) and hierarchical clustering were performed for unsupervised multivariate statistical analysis.