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- W285714574 abstract "Various approaches to comparing subsets are discussed.Two approaches to direct single cluster clustering are described: seriation and moving center separation, which are reinterpreted as locally optimal algorithms for particular (mainly approximational) criteria.A moving center algorithm is based on a novel concept of reference point: the cluster size depends on its distance from the reference point.Five single cluster structures are considered in detail: Principal cluster as related to both seriation and moving center;Ideal fuzzy type cluster as modeling “ideal type” concept;Additive cluster as related to the average link seriation;Star cluster as a kind of cluster in a “non-geometrical” environment;Box cluster as a pair of interconnected subsets.Approximation framework is shown quite convenient in both extending the algorithms to multi cluster clustering (overlapping permitted) and interpreting." @default.
- W285714574 created "2016-06-24" @default.
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- W285714574 date "1996-01-01" @default.
- W285714574 modified "2023-09-26" @default.
- W285714574 title "Single Cluster Clustering" @default.
- W285714574 doi "https://doi.org/10.1007/978-1-4613-0457-9_4" @default.
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