Results 31 to 40 of about 25,970,551 (304)
Data stream clustering: a review [PDF]
Artificial Intelligence Review, 2020 Has been accepted for publication in Artificial Intelligence ...
Alaettin Zubaroglu, Volkan Atalay
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Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics [PDF]
, 2013 Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper,
Muhammad F Bari +24 more
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ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM
Модели, системы, сети в экономике, технике, природе и обществе, 2023 Background. The paper raises the problem of building a software architecture for the primary processing of airline passenger data, data structuring and further clustering, taking into account industry specifics. Materials and methods.
A.D. Stolyarov +2 more
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Finding Characteristics of Users in Sensory Information: From Activities to Personality Traits
Sensors, 2020 The main objective of this work was to use information provided by a sensor-based activity recognition system to create a profile comprising user habits and link this information to the personality traits of users.
Jaeryoung Lee, Nicholas Bastos
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QCanvas: An Advanced Tool for Data Clustering and Visualization of Genomics Data [PDF]
Genomics & Informatics, 2012 We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering
Nayoung Kim +4 more
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Clustering documents with active learning using Wikipedia [PDF]
, 2008 Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this paper we propose to exploit the semantic knowledge in Wikipedia for clustering,
Ian H. Witten +7 more
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Mental-Map Preserving Visualisation of Partitioned Networks in Vanted
Journal of Integrative Bioinformatics, 2019 Biological networks can be large and complex, often consisting of different sub-networks or parts. Separation of networks into parts, network partitioning and layouts of overview and sub-graphs are of importance for understandable visualisations of those
Garkov Dimitar +3 more
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Applied Sciences, 2022 Recognizing dangerous situations in advance and determining priority is essential in vessel traffic surveillance. The traffic management priority is determined by the vessel traffic service operator (VTSO) employing the closest point of approach (CPA ...
Lee-na Lee, Joo-sung Kim
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Clustering with Distributed Data
CoRR, 2019 We consider $K$-means clustering in networked environments (e.g., internet of things (IoT) and sensor networks) where data is inherently distributed across nodes and processing power at each node may be limited. We consider a clustering algorithm referred to as networked $K$-means, or $NK$-means, which relies only on local neighborhood information ...
Soummya Kar, Brian Swenson
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SACOC: A spectral-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
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