Sentence examples for mean clustering approach from inspiring English sources

In [14], a mean clustering approach was proposed for GMM speaker models, but the time complexity of the log-likelihood calculation was a bottleneck for the testing phase.

Finally, the fat and oedema are quantified from the muscle region in the T1-weighted and T2-STIR magnetic resonance images, respectively, using the fuzzy c-mean clustering approach for 10 FSHD patients.

A K-means clustering approach is proposed for the automated diagnosis of defective rolling element bearings.

A k-means clustering approach is used for deriving a set of primitive trajectories.

The (k -means clustering approach [12] consists of two major steps: (1) reassigning objects to clusters and (2) updating the centers of clusters.

Contrarily, a K-means clustering approach, which is based on typical statistical time domain based features, presents an unstable classification behavior.

Utilizing data from 9 metropolitan areas that have invested in light rail between 1980 and 2010, a k-means clustering approach is used to construct discrete multivariate neighborhood typologies.

The k-means clustering approach using Lloyd's algorithm delivers k centroids for a given data set.

This strategy does not change with the individual set of selected features as long as the feature values are continuous numeric values that are normalized to zero mean and standard deviation one in order to allow for the quantitative comparison of the individual feature values as it is done by the general purpose k-means clustering approach implemented as Lloyd's iteration.

We then employ the K-means clustering approach to cluster the spectra based on the potential discriminatory biomarkers.

In order to obtain representative partitions of the dataset compounds, a combined hierarchical and k-means clustering approach was applied.