Publication: Visualization of Points of a Multidimensional Information Text Array on an Elastic Map for Assessing the Cluster Structure of Data
Дата
2024
Авторы
Bondarev, A. E.
Journal Title
Journal ISSN
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Издатель
НИЯУ МИФИ
Аннотация
The article presents the results of computational experiments on displaying the points of the original multidimensional information array on the elastic map scan to assess the relative positions of semantic proximity areas in order to improve the processing of text information. Elastic maps are considered as a tool for providing analytical work with text information. As previous works show, in order to obtain the required distances corresponding to the cluster picture of the studied multidimensional volume, it is necessary to use the distances on the elastic map, which reflects the cluster portrait of the studied multidimensional data volume. The paper presents the cluster structures of points of the studied multidimensional volume obtained in this way on the elastic map scan in the plane of the first two principal components. An analysis of the relative positions of clusters of different configurations at different points in time is presented.
Описание
Ключевые слова
Cluster position analysis , Elastic maps , Cluster structure , Multidimensional text data
Цитирование
A.E. Bondarev. Visualization of Points of a Multidimensional Information Text Array on an Elastic Map for Assessing the Cluster Structure of Data (2024). Scientific Visualization 16.5: 75 - 85, DOI: 10.26583/sv.16.5.05