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Learning Conserved Networks from Flows
A challenging problem in complex networks is the network reconstruction problem from data.
Identifying Topology of Power Distribution Networks Based on Smart Meter Data
In a power distribution network, the network topology information is essential for an efficient operation of the network.
Deconstructing Principal Component Analysis Using a Data Reconciliation Perspective
Data reconciliation (DR) and Principal Component Analysis (PCA) are two popular data analysis techniques in process industries.
Monotonous (Semi-)Nonnegative Matrix Factorization
Further, the assumption on mixing matrix is relaxed to extend monotonous NMF for data matrix with real numbers as entries.
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