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- W1631753712 abstract "The paper introduces a variant of agglomerative hierarchical clustering techniques. The new technique is used for categorizing character shapes (allographs) in large data sets of handwriting into a hierarchical structure. Such a technique may be used as the basis for a systematic naming scheme of character shapes. Problems with existing methods are described and the proposed method is explained. After application of the method to a very large set of characters, separately for all the letters of the alphabet, relevant clusters are identified and given a unique name. Each cluster represents an allograph prototype." @default.
- W1631753712 created "2016-06-24" @default.
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- W1631753712 date "2002-11-22" @default.
- W1631753712 modified "2023-09-23" @default.
- W1631753712 title "Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting" @default.
- W1631753712 cites W2039606904 @default.
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- W1631753712 doi "https://doi.org/10.1109/icdar.1997.619876" @default.
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