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Complexity and Heterogeneity in Cryptocurrency Prices: An Analysis Based on Gaussian Mixture Model and Consensus Clustering.

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Bibliographic Details
Title: Complexity and Heterogeneity in Cryptocurrency Prices: An Analysis Based on Gaussian Mixture Model and Consensus Clustering.
Authors: Leal, Tâmara1,2, up201700005@up.pt, Campos, Pedro1,3, Alves, Carlos1,2
Source: Intelligent Systems in Accounting, Finance & Management; Dec2025, Vol. 32 Issue 4, p1-26, 26p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190516043
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Complexity and Heterogeneity in Cryptocurrency Prices: An Analysis Based on Gaussian Mixture Model and Consensus Clustering.
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  Data: <searchLink fieldCode="JN" term="%22Intelligent+Systems+in+Accounting%2C+Finance+%26+Management%22">Intelligent Systems in Accounting, Finance & Management</searchLink>; Dec2025, Vol. 32 Issue 4, p1-26, 26p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190516043
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/isaf.70024
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 26
        StartPage: 1
    Titles:
      – TitleFull: Complexity and Heterogeneity in Cryptocurrency Prices: An Analysis Based on Gaussian Mixture Model and Consensus Clustering.
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            NameFull: Leal, Tâmara
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            NameFull: Campos, Pedro
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            NameFull: Alves, Carlos
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 32
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              Value: 4
          Titles:
            – TitleFull: Intelligent Systems in Accounting, Finance & Management
              Type: main
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