Sentence examples for a hierarchy of clusters from inspiring English sources

Hierarchical clustering is a clustering analysis method which seeks to build a hierarchy of clusters.

The final HCA result is a dendrogram (Definition 0.1) depicting a hierarchy of clusters from highest to lowest similarity.

Such method creates a hierarchy of clusters which can be represented by means of a tree structure.

Hierarchical clustering [20] is a popular unsupervised learning technique that seeks to build a hierarchy of clusters.

Algorithm 1 is the bottom-up clustering algorithm that merges the most similar examples in respect of the CRV score, and produces a hierarchy of clusters.

The aim of hierarchical clustering is to build a hierarchy of clusters from a binary tree of the data that merges similar groups of points.

These algorithms produce a hierarchy of clustering and are usually found in the social sciences and biological taxonomy.

Specifically, instead of producing a single clustering they produce a hierarchy of clusterings.

Given a hierarchy of document clusters, each with a descriptive label, a user may browse quickly to those subject areas of greatest interest, and may further refine the chosen subject area through choosing an appropriate subcategory.

The result is a hierarchy of protein clusters at various degrees of granularity.

When combined with a modular structure, the resulting network consists of a hierarchy of interwoven clusters [ 7- 10].