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Data mining technique for simultaneous clustering of the rows and columns of a matrix
subset of columns, or vice versa. Biclustering was originally introduced by John A. Hartigan in 1972. The term "Biclustering" was then later used and refined
Biclustering
Method of deriving an ontology
a formal concept. Relaxed FCA-based versions of biclustering and triclustering include OA-biclustering and OAC-triclustering (here O stands for object
Formal_concept_analysis
North American professional basketball league
Identification of Local Patterns in the NBA Performance Indicators". Applied Biclustering Methods for Big and High-Dimensional Data Using R. CRC Press. p. 298
National Basketball Association
National_Basketball_Association
Australian-American statistician (born 1937)
clustering algorithms, including the famous Hartigan-Wong method and biclustering, and Bayesian statistics. Hartigan was born in Sydney, Australia and
John_A._Hartigan
German computer scientist
architecture, but also in meta-learning, reinforcement learning and biclustering with application to bioinformatics data. Hochreiter developed the long
Sepp_Hochreiter
Analysis technique of genes
covarying genes. A combination of both clustering approaches, known as biclustering, has been used to simultaneously cluster by genes and cells to find genes
Single-cell_transcriptomics
Topical clustering method
Animation of the topic detection process in a document-word matrix through biclustering. Every column corresponds to a document, every row to a word. A cell
Topic_model
Grouping a set of objects by similarity
clusters as connected dense regions in the data space. Subspace models: in biclustering (also known as co-clustering or two-mode-clustering), clusters are modeled
Cluster_analysis
Adjacent subset of an undirected graph
disjoint union of cliques; Tanay, Sharan & Shamir (2002) discuss a similar biclustering problem for expression data in which the clusters are required to be
Clique_(graph_theory)
List of concepts in artificial intelligence
M.; Premalatha, K. (2015). "Stellar-Mass Black Hole Optimization for Biclustering Microarray Gene Expression Data". Applied Artificial Intelligence. 29
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Method of partitioning data points into groups based on their similarity
to this definition) can be shown to be closely related to biclustering. As in biclustering, the goal is to identify groups of objects that share a correlation
Correlation_clustering
Overview of and topical guide to machine learning
algorithm Behavioral clustering Bernoulli scheme Bias–variance tradeoff Biclustering BigML Binary classification Bing Predicts Bio-inspired computing Biogeography-based
Outline_of_machine_learning
Method of data analysis
find clusters based on pattern in the data matrix, often referred to as biclustering, which is a technique frequently utilized in bioinformatics. Subspace
Clustering high-dimensional data
Clustering_high-dimensional_data
Chinese-American biostatistician
sciences and biology. Her statistical interests include feature selection, biclustering, and Bayesian networks; she is also interested in the application of
Hongmei_Zhang
Biased random walk (biochemistry) Biased sample – see Sampling bias Biclustering Big O in probability notation Bienaymé–Chebyshev inequality Bills of
List_of_statistics_articles
Optimization technique
Natarajan; K. Premalatha (2015). "Stellar-Mass Black Hole Optimization for Biclustering Microarray Gene Expression Data". Applied Artificial Intelligence. 29
Metaheuristic
American computational biologist and data scientist
7(5):R36. David J Reiss, Nitin S Baliga, Bonneau R. (2006) Integrated biclustering of heterogeneous genome-wide datasets. BMC Bioinformatics. 7(1):280.
Richard_Bonneau
Real-world applications of data mining
such as k-means clustering, and classification techniques based on biclustering, have been used to study these metabolic processes, successfully predicting
Examples_of_data_mining
Kucuktunc, O.; Catalyurek, U. V. (2013-05-01). "A comparative analysis of biclustering algorithms for gene expression data". Briefings in Bioinformatics. 14
Ümit_Çatalyürek
Swiss mathematician (born 1965)
00627.x with A. Prelić et al.: A systematic comparison and evaluation of biclustering methods for gene expression data, Bioinformatics, vol. 22, 2006, pp. 1122–1129
Peter_Bühlmann
American computer scientist
"Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering". PLOS Computational Biology. 12 (7) e1004791. Bibcode:2016PLSCB..12E4791G
Barbara_Engelhardt
Israeli professor of computer science (born 1953)
Sharan and the SAMBA algorithm with Amos Tanay and Roded Sharan for biclustering are in broad use. Shamir broadened his research to include additional
Ron_Shamir
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