Skip to main content
Log in

Applying Non-Hierarchical Cluster Analysis Algorithms to Climate Classification: Some Problems and their Solution

  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Summary

 Extended non-hierarchical cluster analysis is improved by deriving the initial cluster number and estimating the outliers in the final cluster set. These improvements are tested and compared with an established cluster algorithm using a toy example. Applying the improved cluster analysis to a classification of the European climates shows that the proposed techniques can be of great practical relevance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Additional information

Received September 3, 1998 Revised July 5, 1999

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gerstengarbe, FW., Werner, P. & Fraedrich, K. Applying Non-Hierarchical Cluster Analysis Algorithms to Climate Classification: Some Problems and their Solution. Theor Appl Climatol 64, 143–150 (1999). https://doi.org/10.1007/s007040050118

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s007040050118

Keywords

Navigation