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Issue No. 02 - February (1979 vol. 1)
ISSN: 0162-8828
pp: 219-224
Shin-Yee Lu , Department of Electrical and Computer Engineering, Syracuse University, Syracuse, NY 13210
A distance measure between two trees is proposed. Using the idea of language transformation, a tree can be derived from another by a series of transformations. The distance between the two trees is the minimum-cost sequence of transformations. Based on this definition, an algorithm that generates the distance for any two trees is presented. Cluster analysis for patterns represented by tree structures is discussed. Using a tree-to-tree distance, the similarity between patterns is measured in terms of distance between their tree representations. An illustrative example on clustering of character patterns is presented.
Clustering algorithms, Heuristic algorithms, Pattern recognition, Complexity theory, Algorithm design and analysis, Silicon, Computers,tree structures, Cluster analysis, distance measure, minimum-cost transformations
Shin-Yee Lu, "A Tree-to-Tree Distance and Its Application to Cluster Analysis", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 1, no. , pp. 219-224, February 1979, doi:10.1109/TPAMI.1979.6786615
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