Evidential clustering for categorical data

Mahamadou, Abdoul Jalil Djiberou; Antoine, Violaine; Christie, Gregory J.; Moreno, Sylvain

doi:10.1109/fuzz-ieee.2019.8858972

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Research Progress In Symbolic Data Clustering Algorithms1

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2023

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“…In 2019, Wang et al [19] improved on the above algorithms and proposed a k-modes KNN algorithm. In 2019, Muhammadu's team proposed an algorithm to solve symbolic cluster analysis with evidence clustering, namely ECM algorithm [20]. In this algorithm, a dissimilarity measure was defined, and the iterative optimization algorithm was used as the basis for clustering grouping.…”

Section: Research Progress In Symbolic Data Clustering Algorithmsmentioning

confidence: 99%

Research on a Symbolic Cluster Analysis Algorithm Approaching to the Optimal Value

Zang

2023

Machine Learning and Artificial Intelligence

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Nowadays, there is a large amount of symbolic data in various fields, and people can fully utilize these symbolic data for clustering, providing a better foundation and direction for data mining and analysis. Currently, clustering algorithms for symbol data have emerged one after another, but there are still shortcomings in computational cost and algorithm robustness. Therefore, it is urgent to study an algorithm with stable clustering results, less time consumption, and low I/O overhead. The following proposes a symbolic cluster analysis algorithm that approaches to the optimal value. It reduces the size of the original data by generating a symbolic association graph from a large number of symbolic data samples, effectively solves the problem of high computing costs caused by the huge amount of data, and proves the clustering effect of the algorithm through empirical analysis.

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Section: Research Progress In Symbolic Data Clustering Algorithmsmentioning

confidence: 99%

Research on a Symbolic Cluster Analysis Algorithm Approaching to the Optimal Value

Zang

2023

Machine Learning and Artificial Intelligence

View full text Add to dashboard Cite

show abstract

Evidential clustering for categorical data

Cited by 1 publication

References 18 publications

Research on a Symbolic Cluster Analysis Algorithm Approaching to the Optimal Value

Research on a Symbolic Cluster Analysis Algorithm Approaching to the Optimal Value

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