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Erschienen in:
Intercriteria Analysis and Arithmetic Functions Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Mixture Initialization Based on Prior Data Visual Analysis

verfasst von : Evgenia Suzdaleva, Ivan Nagy

Erschienen in: Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Verlag: Springer International Publishing

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Abstract

The initialization is known to be a critical task for running a mixture estimation algorithm. A majority of approaches existing in the literature are related to initialization of the expectation-maximization algorithm widely used in this area. This study focuses on the initialization of the recursive mixture estimation for the case of normal components, where the mentioned methods are not applicable. Its key part is a choice of the initial statistics of normal components. Several initialization techniques based on visual analysis of prior data are discussed. Validation experiments are presented.

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Vorheriges Kapitel Fuzzy Harmony Search Algorithm Using an Interval Type-2 Fuzzy Logic Applied to Benchmark Mathematical Functions
Nächstes Kapitel Spatiotemporal Parameter Estimation of Thermal Treatment Process via Initial Condition Reconstruction Using Neural Networks
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Metadaten
Titel
Mixture Initialization Based on Prior Data Visual Analysis
verfasst von
Evgenia Suzdaleva
Ivan Nagy
Copyright-Jahr
2019
Buch
Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Print ISBN: 978-3-319-78930-9

Electronic ISBN: 978-3-319-78931-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-78931-6_3