Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica

Currently: Studia Informatica Pomerania

ISSN: 0867-1753     eISSN: 2300-410X    OAI    DOI: 10.18276/si.2015.38-07
CC BY-SA   Open Access 

Issue archive / ZN 878 SI nr 38
Zastosowanie metody mini-modeli opartej na hipersześcianie w procesie modelowania danych wielowymiarowych
(Application of mini-models method based on hypercube in the modeling process of multidimensional data)

Authors: Marcin Pietrzykowski
Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki
Keywords: mini-model local regression k-nearest neighbor mathematical modeling instance based learning
Year of publication:2015
Page range:13 (91-103)
Cited-by (Crossref) ?:


The article presents self-learning method of mini-models (MM-method) based on polytopes in multidimensional space. The method is new and is an object of intensive research. MM method is the instance based learning method and uses data samples only from the local neighborhood of the query point. Group of points which are used in the model-learning process is constrained by a polytope area. The MM-method can on a defined local area use any approximation algorithm to compute mini-model answer for the query point. The article describes a learning technique based on hyper-spherical coordinate system. The method was used in the modeling task with multidimensional datasets. The results of numerical experiments were compared with other instance based methods.
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