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IET Control Theory &Applications, Volume 17, Issue 17, Page 2304-2312, November 2023., 2023 Two algorithms—trajectory feature extraction and task‐to‐crowd matching are proposed here for extracting features from trajectory data and solving the job‐to‐crowd matching problem. The real‐world dataset is used in the simulation to verify the truth and justify the achievements.
Pei‐Wei Tsai, Xingsi Xue, Jing Zhang
wiley +1 more source
, 2022 RelDenClu is a non-linear feature dependence-based biclustering method.
namitaML
core +1 more source
, 2022 RelDenClu biclustering algorithm with application to real life ...
namitaML
core +1 more source
A visual analytics approach for understanding biclustering results from microarray data
BMC Bioinformatics, 2008 Background Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from microarrays.
Quintales Luis +2 more
doaj +1 more source
A family of mixture models for biclustering [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2021 AbstractBiclustering is used for simultaneous clustering of the observations and variables when there is no group structure known a priori. It is being increasingly used in bioinformatics, text analytics, and so on. Previously, biclustering has been introduced in a model‐based clustering framework by utilizing a structure similar to a mixture of factor
Wangshu Tu, Sanjeena Subedi
openaire +2 more sources
Implementation of BiClusO and its comparison with other biclustering algorithms
Applied Network Science, 2019 This paper describes the implementation of biclustering algorithm BiClusO using graphical user interface and different parameters to generate overlapping biclusters from a binary sparse matrix.
Mohammad Bozlul Karim +2 more
doaj +1 more source
Profile likelihood biclustering
Electronic Journal of Statistics, 2020 Biclustering, the process of simultaneously clustering the rows and columns of a data matrix, is a popular and effective tool for finding structure in a high-dimensional dataset. Many biclustering procedures appear to work well in practice, but most do not have associated consistency guarantees.
Flynn, Cheryl, Perry, Patrick
openaire +3 more sources
Colorectal Cancer-Associated Microbiome Patterns and Signatures
Frontiers in Genetics, 2021 The gut microbiome is dynamic and shaped by diet, age, geography, and environment. The disruption of normal gut microbiota (dysbiosis) is closely related to colorectal cancer (CRC) risk and progression.
Lan Zhao +4 more
doaj +1 more source
Multiple structure recovery via probabilistic biclustering [PDF]
, 2016 Multiple Structure Recovery (MSR) represents an important and challenging problem in the field of Computer Vision and Pattern Recognition. Recent approaches to MSR advocate the use of clustering techniques.
Bicego M. +4 more
core +2 more sources