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Analysis of institutional authors

Ramos-Carreño CCorresponding Author

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August 28, 2023
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Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data

Publicated to:Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023. 37 (13): 16310-16311 - 2023-06-27 37(13), DOI: 10.1609/aaai.v37i13.27015

Authors: Ramos-Carreño C

Affiliations

Universidad Autónoma de Madrid - Author

Abstract

Fuzzy c-means (FCM) is a generalization of the classical kmeans clustering algorithm to the case where an observation can belong to several clusters at the same time. The algorithm was previously observed to have initialization problems when the number of desired clusters or the number of dimensions of the data are high. We have tested FCM against clustering problems with functional data, generated from stationary Gaussian processes, and thus in principle infinite-dimensional. We observed that when the data is more functional in nature, which can be obtained by tuning the length-scale parameter of the Gaussian process, the aforementioned problems do not appear. This not only indicates that FCM is suitable as a clustering method for functional data, but also illustrates how functional data differs from traditional multivariate data. In addition this seems to suggest a qualitative way to measure the latent dimensionality of the functional distribution itself.

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Quality index

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-17:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 2 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://repositorio.uam.es/handle/10486/718719

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (RAMOS CARREÑO, CARLOS) and Last Author (RAMOS CARREÑO, CARLOS).

the author responsible for correspondence tasks has been RAMOS CARREÑO, CARLOS.