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Oznake: oblak točk;nenadzorovano iskanje;statistično rojenje;harmonična interpolacija;strukturni elementi;objekti;point cloud;unsupervised search;statistical clustering;harmonic interpolation;structural elements;objects;
This paper addresses the growing demand for effective 3D sensing applications by presenting a comprehensive point cloud segmentation method developed for large indoor spaces. Our approach recognises the challenges associated with (un)ordered data and presents a robust algorithm capable of dealing wi ...
Leto: 2025 Vir: Fakulteta za elektrotehniko (UL FE)
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Oznake: samorazvijajoče se rojenje;analiza Twitter podatkov;sprotna metoda;Gaussova verjetnost;evolving clustering;Twitter data analysis;online method;Gaussian probability;
In this paper, we present an evolving data-based approach to automatically cluster Twitter users according to their behavior. The clustering method is based on the Gaussian probability density distribution combined with a Takagi–Sugeno fuzzy consequent part of order zero (eGauss0). This means that t ...
Leto: 2022 Vir: Fakulteta za elektrotehniko (UL FE)
Št. zadetkov: 2
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