Труды сотрудников ИВМ СО РАН

/ M. G. Sadovsky, A. N. Ostylovsky // Applied Methods of Statistical Analysis : Novosibirsk State Technical University, 2017. - 4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017, ) Conference code: 139508. - P204-210 . -
Аннотация: New method is proposed to identify topology of a low-dimensional mani-fold approximating multidimensional datasets. The method is based on the implementation of the compliment for the discrete set of data. Some essential properties and constraints of the method are discussed. New method is proposed to identify clusters in datasets. The method is based on a sequential elimination of the longest distances in dataset, so that the relevant graph looses some edges. The method stops when the graph becomes disconnected. © Novosibirsk State Technical University, 2017.

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Держатели документа:
Institute of computational modelling SB RAS, Krasnoyarsk, Russian Federation
Siberian federal university, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sadovsky, M. G.; Ostylovsky, A. N.