MULTICLASS CLUSTERING ALGORITHM BASED ON A FULL SPACE
Keywords:
Clustering, multi-class clustering, teacherless clustering, MAXIMUS method.Abstract
With the growth of big data and the increase in data volume and diversity, the complexity of data is also increasing. Traditional clustering methods provide only a single clustering result, which limits data exploration to one possible partition. In contrast, multi-class clustering methods reveal several non-repetitive and distinct clustering solutions simultaneously or sequentially. This allows for the identification of hidden data structures. Therefore, multi-class clustering has become a popular and promising area of research today. In this study, an approach and algorithm for the problem of multiclass clustering focused on the importance of objects were developed.
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Copyright (c) 2025 Fayzulla Ollamberganov, Allambergen Kalbayev , Qudiyar Yelmuratov , Muxammed Qudaynazarov
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