Sentence examples for task of clustering from inspiring English sources
In Algorithm 2, the task of clustering assignment is reduced to itself for M equilibrium point.
These applications usually store massive amounts of data which cause difficulties to do the task of clustering on entire dataset.
We were recently confronted with the task of clustering a collection of building blocks for drug discovery consisting of about 800K heterocyclic scaffolds with variable functional group decoration.
We successfully developed and applied the automated pocket detection method PocketPicker to the task of identifying ligand binding sites in proteins, and the task of clustering structurally related binding sites by shape and a buriedness index.
Despite early efforts showing that document retrieval and document clustering are highly linked topics [5], [6], [7], most recent work using similarity measures is focused on improving the relevancy and ranking of search results [8], [9], [10] with little or no reference to the important task of clustering.
We do not claim that CPBA based clustering outperforms existing clustering methods in the simple task of clustering.
Two challenges in the task of cluster analysis are (1) dealing with complicated data with nested or hierarchy structures inside; and (2) automatically detecting the number of clusters.
We propose here to use the task of data clustering to apply a task-driven evaluation of community detection algorithms.
Consensus clustering, i.e. the task of combining the outcomes of several clustering systems into a single partition, has lately attracted the attention of researchers in the unsupervised classification field, as it allows the creation of clustering committees that can be applied with multiple interesting purposes, such as knowledge reuse or distributed clustering.
Many algorithms have been developed for the task of spatial clustering focusing on the spatial dimensions of the objects.
In this study, a comparative analysis of four architectural shape representations for the task of unsupervised clustering is presented.
