In addition, we propose a hierarchical clustering algorithm and an efficient method for measuring similarity. Using a splice dataset and synthetic datasets, we ...
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A sequence-element-based hierarchical clustering algorithm for categorical sequence data. March 2005; International Journal of Information Technology ...
In this paper, we study how to cluster these sequence datasets. We propose a new similarity measure to compute the similarity between two sequences. In the ...
ALGORITHM FOR CATEGORICAL SEQUENCE DATA. SEUNG-JOON OH∗ and JAE-YEARN KIM ... measure and clustered data by our proposed hierarchical clustering algorithm.
In this paper, we study how to cluster these sequence datasets. We propose a new similarity measure to compute the similarity between two sequences and develop ...
The algorithm employs the idea of agglomerative hierarchical clustering, which consists in merging pairs of similar clusters to form new larger clusters.
This paper introduces a problem of clustering categorical data sequences and presents an efficient scalable algorithm to solve the problem and implements ...
A sequence-element-based hierarchical clustering algorithm for categorical sequence data ... Recently, there has been enormous growth in the amount of commercial ...
A Sequence-Element-Based Hierarchical Clustering Algorithm For Categorical Sequence Data. ... A hierarchical clustering algorithm for categorical sequence data.
An Introduction to Hierarchical Clustering in Python - DataCamp
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A hierarchical clustering approach is based on the determination of successive clusters based on previously defined clusters. It's a technique aimed more toward ...