2026-10-12T15:54:08Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34023630 2026-09-29T12:07:39Z portal_1197 item_type_6 month_year_09_2026

A new approach to clustering Roland Wilson (13564186) M. Spann (24764110) Migrated from ePrints Estimation theory is used to derive a new approach to the clustering problem. The new method is a unification of centroid and mode estimation, achieved by considering the effect of spatial scale on the estimator. The result is a multiresolution method which spans a range of spatial scales, giving enhanced robustness both to noise in the data and to changes of scale in the data, by using comparison between scales as a test of cluster validity. Iterative and non-iterative algorithms based on the new estimator are presented and are shown to be more accurate than simple scale-space filtering in identifying and locating the cluster centres from noisy test data. Results from a wide range of applications are used to illustrate the power and versatility of the new method. 1990-01-01T00:00:00Z Text Journal contribution 10.1016/0031-3203(90)90087-2 https://figshare.com/articles/journal_contribution/A_new_approach_to_clustering/34023630 CC BY 4.0 Restricted Access