Results 1 to 10 of about 43,679 (257)
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks [PDF]
BMC Bioinformatics, 2019 Background How can we obtain fast and high-quality clusters in genome scale bio-networks? Graph clustering is a powerful tool applied on bio-networks to solve various biological problems such as protein complexes detection, disease module detection, and ...
Yongsub Lim +4 more
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Object Type Clustering Using Markov Directly-Follow Multigraph in Object-Centric Process Mining
IEEE Access, 2022 Object-centric process mining is a new process mining paradigm with more realistic assumptions about underlying data by considering several case notions, e.g., an order handling process can be analyzed based on order, item, package, and route case ...
Amin Jalali
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Applied Network Science, 2021 Markov clustering is an effective unsupervised pattern recognition algorithm for data clustering in high-dimensional feature space. However, its community detection performance in complex networks has been demonstrating results far from the state of the ...
Claudio Durán +2 more
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A weighted Markov-clustering routing protocol for optimizing energy use in wireless sensor networks
Egyptian Informatics Journal, 2022 Interest has increased in wireless sensor networks (WSNs) in fields such as healthcare, industrial control and environmental monitoring. More recently, WSNs have been widely deployed in Internet of Things (IoT) based applications.
Leila Abbad +4 more
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Quantitative logging data clustering with hidden Markov model to assist log unit classification
Earth, Planets and Space, 2022 Revealing subsurface structures is a fundamental task in geophysical and geological studies. Logging data are usually acquired through drilling projects, which constrain the subsurface structure, and together with the description of drill core samples ...
Suguru Yabe +6 more
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A Generic Clustering-Based Algorithm for Approximating IOHMM Topology and Parameters
IEEE Access, 2021 In this paper, a novel generic clustering-based algorithm for approximating the topology and the parameters of discrete state space Input/Output Hidden Markov Models (IOHMMs) with continuous observation spaces is introduced. The algorithm can accommodate
Gerald Rocher +2 more
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A hybrid clustering approach to recognition of protein families in 114 microbial genomes
BMC Bioinformatics, 2004 Background Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function).
Gogarten J Peter +2 more
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Application and Research of Markov Model in Network Traffic Classification [PDF]
Jisuanji gongcheng, 2018 With the development of information science and technology,the traditional port number and depth packet detection classification technology can not meet the classification requirements of various applications in the network,and can not be classified ...
ZHAO Ying,HAN Chunhao
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BAND SELECTION OF HYPERSPECTRAL IMAGES BASED ON MARKOV CLUSTERING AND SPECTRAL DIFFERENCE MEASUREMENT FOR OBJECT EXTRACTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 For the existing hyperspectral image (HSI) band selection (BS) algorithm does not consider the strong correlation between adjacent bands and does not meet the high-precision extraction of single target, a HSI BS algorithm based on Markov clustering and ...
T. Zhang +14 more
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InPrime, 2019 Protein has an important role in our life. Every protein interacts with other proteins, DNA, and other molecules. It forms a very large protein interaction networks. We need clustering method to analyze it.
Hafizh Amrullah, Syamsuddin Wisnubroto
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