Results 21 to 30 of about 796,452 (265)
Correlation Clustering in Data Streams [PDF]
Algorithmica, 2021 AbstractClustering is a fundamental tool for analyzing large data sets. A rich body of work has been devoted to designing data-stream algorithms for the relevant optimization problems such as k-center, k-median, and k-means. Such algorithms need to be both time and and space efficient.
Ahn, KJ +4 more
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A New Cluster Validity for Data Clustering
Neural Processing Letters, 2006 Cluster validity has been widely used to evaluate the fitness of partitions produced by clustering algorithms. This paper presents a new validity, which is called the Vapnik---Chervonenkis-bound (VB) index, for data clustering. It is estimated based on the structural risk minimization (SRM) principle, which optimizes the bound simultaneously over both ...
XuLei Yang, Aize Cao, Qing Song 0001
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Big Data Clustering via Community Detection and Hyperbolic Network Embedding in IoT Applications
Sensors, 2018 In this paper, we present a novel data clustering framework for big sensory data produced by IoT applications. Based on a network representation of the relations among multi-dimensional data, data clustering is mapped to node clustering over the produced
Vasileios Karyotis +3 more
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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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Cogent Engineering, 2018 This study develops a new two-level multi-objective genetic algorithm (GA) to optimise clustering to reduce and impute missing cost data for fans used in road tunnels by the Swedish Transport Administration (Trafikverket).
Yamur K. Aldouri +2 more
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IEEE Access, 2019 Real-time traffic status information provides good references for urban traffic control and management. Travel time is easy to understand and widely employed in representing traffic status.
Mengyun Xu +3 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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ACM Computing Surveys, 2011 In the last few years we have observed a proliferation of approaches for clustering XML documents and schemas based on their structure and content. The presence of such a huge amount of approaches is due to the different applications requiring the clustering of XML data.
Alsayed Algergawy +3 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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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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