The phrase "classification hierarchy" is correct and commonly used in written English.
It is typically used to refer to a system or structure of organizing information into categories or levels. Example: The library's book catalog follows a clear classification hierarchy, with books sorted by genre, author, and subject.
In the virus classification hierarchy, the ICTV recognizes orders, families, subfamilies, genera, and species.
A classification hierarchy is organised like a polychotomous key, from general classification criteria to wetland type identification.
This scenario produced the highest level of overall accuracy at 77% for level 4 of classification hierarchy (13 classes).
The project developed a land use and habitat classification hierarchy applicable to the New Zealand urban context, including a classification system for private gardens.
We extend the definition of metaschema to make it applicable to a DAG classification hierarchy, such as the one exhibited by the ESN.
Research at the US Army, TARDEC, has been developing a generic ground system performance specification framework, and a ground system standard product classification hierarchy.
To organize, access, and manage these valuable assets effectively, we use taxonomies, classification hierarchies, ontologies, controlled vocabularies, and other approaches.
Importantly, a key characteristic of modern soil classification systems is their multi-scale approach, which incorporates these phenomena scales within their classification hierarchies.
Whilst the first two principles were found to be well established in the research literature, guidance on how to apply classification hierarchies for optimum reuse was found to be insufficient.
Indeed, development of global species-based vegetation classification hierarchies based on the same principles and design as the USNVC are in progress (Faber-Langendoen et al. 2014), and could be applied to global forest plot data.
There are many different algorithms for computing similarity measures between compounds and for aggregating compounds into clusters based on pairwise similarity measures, leading to arbitrarily many different classification hierarchies, even given the same compound collection as input.
