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The knowledge of symbiotic, parasitic, and commensal interactions between macro and microorganisms is fundamental to explaining their coexistence, ecology, and productivity [...].Learning accurate Bayesian Network (BN) structures of high-dimensional and sparse data is difficult because of high computation complexity. To learn the accurate structure for high-dimensional and sparse data faster, this paper adopts a divide and conquer strategy and proposes a block learning algorithm with a mutual information based K-means algorithm (BLMKM a
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