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RF model and SNA analysis for optimization of regional financial supervision system. [PDF]
Sci RepWei T.
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Feature-Based Growth Curve Classification Enables Efficient Phage Discrimination. [PDF]
VirusesOka Y +3 more
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Metabolic risk stratification of night shift workers in a large retail workplace through clustering and SHAP interpretation. [PDF]
Front Public HealthLee I, Hong S, Jang E, Lee J, Lee J.
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Female fruit flies use social cues to make egg-clustering decisions. [PDF]
BMC BiolChurchill ER +7 more
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Forestalled phase separation as the precursor to stripe order. [PDF]
Nat CommunSinha A, Wietek A.
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Spatial potential evaluation of ecotourism resources and functional zoning in the Qinghai lake basin. [PDF]
Sci RepXu Y +7 more
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WIREs Data Mining and Knowledge Discovery, 2011
Abstract Clustering refers to the task of identifying groups or clusters in a data set. In density‐based clustering , a cluster is a set of data objects spread in the data space over a contiguous region of high density of objects.
Hans‐Peter Kriegel +3 more
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Abstract Clustering refers to the task of identifying groups or clusters in a data set. In density‐based clustering , a cluster is a set of data objects spread in the data space over a contiguous region of high density of objects.
Hans‐Peter Kriegel +3 more
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Active Density-Based Clustering
2013 IEEE 13th International Conference on Data Mining, 2013The density-based clustering algorithm DBSCAN is a fundamental technique for data clustering with many attractive properties and applications. However, DBSCAN requires specifying all pair wise (dis)similarities among objects that can be non-trivial to obtain in many applications.
Mai, S. T. +4 more
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