Clustering Algorithms in Biomedical Research: A Review

By Rui Xu, Donald C. Wunsch II. IEEE Reviews in Biomedical Engineering, 2010

334 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4c74a0be4cf9878ab98912801ea12e7a44ae04b5

How researchers see this paper

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In Molecular Biology

1. Chin-Teng Lin
2. Meng Joo Er
3. Jianzhong Qi

Citations in the corpus

• DBSVEC: Density-Based Clustering Using Support Vector Expansion (2019, background): “It has broad applications in many fields such as spatial data analysis [2], science of astronomy [3], and biomedical research [4].”
• Efficient agglomerative hierarchical clustering (2015, neutral): “…Carvalho, 2009; Jacinth Salome & Suresh, 2012; Jain et al., 1999; Lee, Han, & Whang, 2007; Lin, Liu, & Chen, 2005; Liu & Yu, 2005; Liu, Li, Sim, & Wong, 2007; Lee, Han, Li, & Gonzalez, 2008; Ordonez & Omiecinski, 2004; Pan, Zhang, & Wang, 2008; Rokach, 2010; Xu & Wunsch, 2010; Zhou et al., 2009).”
• A review of clustering techniques and developments (2017, background): “Xu and Wunsch [50, 51] described clustering in the perspective of probability that data objects are drawn from a specific probability distribution and the overall distribution of the data is assumed to be a mixture of several distributions [53].”