Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00491344" target="_blank" >RIV/67985556:_____/18:00491344 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-78437-3_14" target="_blank" >http://dx.doi.org/10.1007/978-3-319-78437-3_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-78437-3_14" target="_blank" >10.1007/978-3-319-78437-3_14</a>

Result language
angličtina
Original language name
Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components
Original language description
This chapter considers the problem of clustering non-Gaussian data with fixed bounds via recursive mixture estimation under the Bayesian methodology. Here a mixture of uniform distributions is taken, where individual clusters are described by mixture components. The mixture estimation algorithm is based on (i) the update of reproducible statistics of uniform components, (ii) the heuristic initialization via the method of moments, (iii) the non-trivial adaptive forgetting technique, (iv) the data-dependent dynamic pointer model.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA15-03564S" target="_blank" >GA15-03564S: Clustering and classification using recursive mixture estimation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Practical Issues of Intelligent Innovations. Studies in Systems, Decision and Control
ISBN
978-3-319-78436-6
Number of pages of the result
17
Pages from-to
313-330
Number of pages of the book
330
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
000466552900015

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