Abstract

Hierarchical clustering algorithms are frequently used in constructing phylogenetic trees of protein sequences. Hierarchical clustering is the recursive clustering of data points. Similarity is computed by measuring the distance between elements. Relationship between data is visually denoted by dendrogram. Single linkage, average linkage, complete linkage and Ward's linkage are some of frequently used hierarchical clustering algorithms. In this study, an alternative solution based on Ordered Weighted Average (OWA) aggregation operator is proposed in solving distance between clusters in hierarchical clustering of proteins.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.