Sentence examples for many clustering techniques from inspiring English sources

Many clustering techniques such as principal component analysis and hierarchical cluster analysis have been employed to analyze chemical data for pattern recognition.

Many conventional soft subspace clustering techniques merge several criteria into a single objective to improve performance; however, the weighting parameters become important but difficult to set.

Many different types of clustering techniques for chemical structures have been used in the literature [6 13].

Despite the great variety of clustering techniques, many articles directly compare the various clustering methodologies like [ 135] and [ 142].

For the past few years, many researchers have extensively investigated clustering techniques for WSNs and wireless ad hoc networks [21, 22].

Many of these studies use clustering techniques [ 18- 23] to group tumours with similar gene expression patterns, and thus to identify clinically relevant molecular biomarkers for tumour classification.

Clustering techniques are widely used in many disciplines of science and accordingly many approaches have been developed (e.g. [28], [29], [31]).

Clustering techniques have received attention in many fields of study such as engineering, medicine, biology and data mining.

Clustering techniques are widely used in many different applications based on NGS data, from error correction [ 20] to the discovery of groups of microRNAs [ 21].

Many a time, the similarity level between data points is derived through a distance measure; so, a number of clustering techniques reliant on such a measure are developed.

The graph clustering techniques are regarded as appropriate for network modules detection; experimental study confirms MCL performs better than ICC and GMC in many cases [ 37].