clustering methods

clustering methods

the means by which groups of related or similar species are arranged in species groups or into higher taxonomic groupings.
Collins Dictionary of Biology, 3rd ed. © W. G. Hale, V. A. Saunders, J. P. Margham 2005
References in periodicals archive ?
All these existing methods for cluster formation are crisp clustering methods where vehicles that are uncertain about their clusters are not properly assigned to the appropriate clusters.
The factors extracted from the principal component analysis are used in two different clustering methods, k-means and Ward.
"Privacy Preserving Outlier Detection Using Hierarchical Clustering Methods, 2010.
Therefore, we can use clustering methods that determine the optimum number of clusters [26, 27] automatically.
A number of clustering methods have been proposed for cluster analysis of gene expression data.
The application of nonparametric regression prediction contains five key steps: choosing clustering methods of historical database, the definition of state vector, the determining of similar mechanism, the choosing of the nearest neighbor mechanism, and the choosing of prediction function.
For Spatial clustering methods have great advantages in solving and analyzing complex problems lack of background information, the method of spatial clustering spatial data has been one of the most active and most widely used technology in mining field.
The cophenetic correlations found for the clustering methods centroid distance, nearest-neighbor, furthest-neighbor, average distance and Ward's were equal to 0.80, 0.76, 0.80, 0.81, and 0.77, respectively.
Different clustering methods yield different regions, and henceforth different sets of price indexes.
To further compare the two clustering methods, the mean road density was calculated for each class for both results.
The pilots may produce clustering methods and software that OCLC Research and/or Europeana may want to develop further and apply to other datasets as well.
It should be noted that the use of a structural weighted lattice would ensure the intended accuracy of air discretisation when applying hierarchical clustering methods, not only to form airspace blocks on the basis of traffic flows in the targeted airspace, but also to ensure the integrity of the airspace and the optimal integration of flight operations.