Points of Significance: Clustering

By Naomi Altman, Martin Krzywinski. Nature Methods, 2017

1,892 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8c81164d6340f4a0c5c9b19edcc1e2cb7f88b5b8

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Citations in the corpus

Ubiquitous cell-free Massive MIMO communications (2018, methodology): “The signal co-processing concept is present in [6], network MIMO [7, 8], coordinated multipoint with joint transmission (CoMP-JT) [9, 10, 11], and multi-cell MIMO cooperative networks [12].”
Explosive transitions in complex networks’ structure and dynamics: Percolation and synchronization (2016, background): “Coexistence of coherence and incoherence has also been observed in networks of coupled nonidentical phase oscillators [229, 230], and in globally coupled populations of identical oscillators [231] with internal delayed feedback [211, 219].”
Fair Clustering Through Fairlets (2018, background): “See, for example, the books by Aggarwal & Reddy (2013); Xu & Wunsch (2009) for an extensive list of problems and algorithms.”
Algorithms for hierarchical clustering: an overview, II (2017, background): “In Xu and Wunsch (2008, p. 215) these are classiﬁed as follows: • Random sampling • Divide and conquer”
Community detection in networks: A user guide (2016, methodology): “40 In that case, clusters can be readily identified via standard hierarchical or partitional clustering techniques [173,174].”
Discussion of ‘Deep learning for finance: deep portfolios’ (2017, methodology): “This approach has a clear connection to the other well-studied techniques such as projection pursuit [9] and principal component analysis (PCA).”
Fourth Moments and Independent Component Analysis (2014, background): “The term “projection pursuit” was first launched by Friedman and Tukey (1974).”
Prospective Multiple Antenna Technologies for Beyond 5G (2019, methodology): “This solution has been explored in the past, using names such as network MIMO [21], [22], distributed MIMO [23], and coordinated multi-point (CoMP) [24].”
A review on machine learning principles for multi-view biological data integration (2016, methodology): “Performance of clustering can be computationally quantified using simulation study, multi-view extensions of index criteria [15] and enrichment analysis.”
Temperature in and out of equilibrium: A review of concepts, tools and attempts (2017, background): “The third category results in spatially homogeneous steady states and has been recently realised in experiments [214, 215, 216].”
Learning and Inference via Maximum Inner Product Search (2016, background): “These include branch-and-bound techniques (Ram & Gray, 2012; Koenigstein et al., 2012), which are similar to k-d trees (Friedman & Tukey, 1974).”
Foundations of User-Centric Cell-Free Massive MIMO (2020, background): “are in the center of a cluster and not at the edges [46], [93], [110], [141].”
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing (2018, neutral): “The data analytic for Sleep Apnea analysis encapsulates two open source programs found in [34][35].”