A Biclustering Method for Heterogeneous and Temporal Medical Data

Maxence Vandromme,Julie Jacques,Julien Taillard,Laetitia Jourdan,Clarisse Dhaenens

IEEE Transactions on Knowledge and Data Engineering（2022）

引用 11|浏览18

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摘要

We address the problem of biclustering on heterogeneous data, that is, data of various types (binary, numeric, symbolic, temporal). We propose a new method, HBC-t (Heterogeneous BiClustering for temporal data), designed to extract biclusters from heterogeneous, temporal, large-scale, sparse data matrices. HBC-t is based on HBC, using similar mechanisms but adding support for temporal data. The goa...

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关键词

Data mining,Hospitals,Medical diagnostic imaging,Clustering algorithms,Gene expression,Sparse matrices

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