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    Multi-Parent Clustering Algorithms from Stochastic Grammar Data Models (1999)
    In:  CASI
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    Publication Date: 2019-07-10
    Description: We introduce a statistical data model and an associated optimization-based clustering algorithm which allows data vectors to belong to zero, one or several "parent" clusters. For each data vector the algorithm makes a discrete decision among these alternatives. Thus, a recursive version of this algorithm would place data clusters in a Directed Acyclic Graph rather than a tree. We test the algorithm with synthetic data generated according to the statistical data model. We also illustrate the algorithm using real data from large-scale gene expression assays.
    Keywords: Computer Programming and Software
    Format: application/pdf
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