Results 21 to 30 of about 1,888,648 (281)
ACM Computing Surveys, 1999 Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis.
Jain, AK, Murty, MN, Flynn, PJ
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Application of Multivariate-Rank-Based Techniques in Clustering of Big Data
Vikalpa, 2018 Executive Summary Very large or complex data sets, which are difficult to process or analyse using traditional data handling techniques, are usually referred to as big data.
Pritha Guha
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Improving clustering with metabolic pathway data [PDF]
, 2014 Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge.
Carrari, Fernando Oscar +4 more
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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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Robust hierarchical k-center clustering [PDF]
, 2015 One of the most popular and widely used methods for data clustering is hierarchical clustering. This clustering technique has proved useful to reveal interesting structure in the data in several applications ranging from computational biology to computer
Lattanzi, Silvio +3 more
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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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Clustering spatial transcriptomics data
Bioinformatics, 2021 AbstractMotivationRecent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcriptomics data is the assignment of cell types.
Haotian Teng, Ye Yuan, Ziv Bar-Joseph
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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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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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