Sequential mean shift algorithms for space–time point data

Author:

Grillenzoni CarloORCID

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Reference24 articles.

1. Aliyari-Ghassabeh YA, Linder T, Takahara G (2013) On convergence properties of the subspace constrained mean shift. Pattern Recogn 46(11):3140–3147

2. Bas E, Erdogmus D (2011) Principal curves as skeletons of tubular objects. Neuroinformatics 9(2–3):181–191

3. Brunsdon C (2007) Path estimation from GPS tracks. In: Proceedings of 9th international conference on geocomputation, Maynooth, Eire

4. Bond NA, Strauss MA, Cen R (2010) Crawling the cosmic network: identifying and quantifying filamentary structure. Mon Not R Astron Soc 409(1):156–168

5. Carreira-Perpiñán MÁ (2015) Clustering methods based on kernel density estimators: mean-shift algorithms. In: Hennig C, Meila M, Murtagh F, Rocci R (eds) Handbook of cluster analysis. Chapman & Hall, London, pp 383–418 (Chap. 18)

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