Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data

By Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra. 2004

329 citations recorded by the source corpus.

Subfields: Molecular Biology, Computational Biology & Bioinformatics

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Citations in the corpus

Product Quantization for Nearest Neighbor Search (2011, neutral): “A possible solution is the minimum sumsquared residue coclustering [28] algorithm.”
A generalized maximum entropy approach to bregman co-clustering and matrix approximation (2004, methodology): “This example with a uniform measure ν corresponds to the setting described in [5, 4].”
Multi-Task Multi-View Clustering for Non-Negative Data (2015, methodology): “Co-clustering: Co-clustering has received a lot of attention in several practical applications such as text mining [Dhillon, 2001], genes [Cho et al., 2004] and recommender systems [George and Merugu, 2005].”
A classification for community discovery methods in complex networks (2011, background): “it is a general framework in which previous co-clustering approaches, such as [70], can be viewed as special cases).”
Biclustering in data mining (2008, unknown): “Cho et al. proposed a co-clustering algorithm minimizing the sum-squared residue throughout all co-clusters [27].”
Multi-Task Multi-View Clustering (2016, background): “There are two main approaches to learn the relationship among related tasks: sharing a common feature representation and sharing common model parameters.”
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering (2006, background): “In most cases, we set k = l. This form gives a good framework for simultaneously clustering the rows and columns of X. Recently, simultaneous clustering has been extensively studied [10, 8 , 2, 7, 28].”
PAC-Bayesian Analysis of Co-clustering and Beyond (2010, background): “…Souroujon, 2001; Dhillon et al., 2003; Takamura and Matsumoto, 2003), genes and experimental conditions in bioinformatics (Cheng and Church, 2000; Cho et al., 2004; Klugeret al., 2003; Cho and Dhillon, 2008), tokens and contexts in natural language processing (Freitag, 2004; Rohwer and Freitag,…”