Framework for Sequence Cluster Merging Also showing importance of domain knowledge

This framework outlines the significance of domain knowledge in sequence clustering, a pivotal research area. It describes two primary approaches: the bottom-up method, which recursively merges elements to a specified level of specificity, and the top-down method, which splits elements until the desired specificity is reached. The discussion highlights crucial challenges in the sequence clustering problem, notably selectivity and sensitivity, which are essential for accurate clustering results. This paper aims to provide insights into effective sequence cluster merging strategies.

• sequence clustering
• domain knowledge
• bottomup approach
• topdown approach
• selectivity
• sensitivity
• clustering techniques
• recursive mergingtext

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