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   Articles with "hybrid clustering" as a keyword



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Performance analysis of efficient data distribution in P2P environment using hybrid clustering techniques

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recommendations! Published in 2019 at "Soft Computing"

DOI: 10.1007/s00500-019-03796-9

Abstract: In this paper, K-means algorithm has been applied for distributed large data using hybrid clustering techniques. K-means is a simple and scalable algorithm which can be applied on large datasets. It is one of the… read more here.

Keywords: p2p environment; hybrid clustering; p2p; using hybrid ... See more keywords
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Hybrid Clustering Scheme for Relaying in Multi-Cell LTE High User Density Networks

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recommendations! Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2016.2627527

Abstract: LTE usage is rapidly increasing with the increased demand for high data rate services. LTE cells with high load would be insufficient to handle all users’ traffic. This may cause blocking for some users or… read more here.

Keywords: clustering scheme; hybrid clustering; topology; cell ... See more keywords

An Energy-Efficient Hybrid Clustering Technique (EEHCT) for IoT-Based Multilevel Heterogeneous Wireless Sensor Networks

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3254594

Abstract: Internet-of-Things (IoT)-based Heterogeneous Wireless Sensor Network (HWSN) has emerged as a prevalent technology that plays a significant role in developing various human-centric applications. Like in a wireless sensor network (WSN), energy is also the most… read more here.

Keywords: network; wireless sensor; hybrid clustering; energy ... See more keywords
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A fuzzy hybrid clustering method for identifying hydrologic homogeneous regions

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recommendations! Published in 2018 at "Journal of Hydroinformatics"

DOI: 10.2166/hydro.2018.004

Abstract: Identification of hydrologic homogeneous regions (HHR) facilitates prioritization of watershed management measures. In this study, a new methodology involving a combination of self-organizing features maps (SOFM) method and fuzzy C-means algorithm (FCM), designated as SOMFCM,… read more here.

Keywords: methodology; clustering method; homogeneous regions; hybrid clustering ... See more keywords
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Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosis.

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recommendations! Published in 2020 at "Journal of X-ray science and technology"

DOI: 10.3233/xst-200661

Abstract: BACKGROUD AND OBJECTIVE The control of clinical manifestation of vestibular system relies on an optimal diagnosis. This study aims to develop and test a new automated diagnostic scheme for vestibular disorder recognition. METHODS In this… read more here.

Keywords: diagnosis; clustering system; system; hybrid clustering ... See more keywords
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A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly Detection

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recommendations! Published in 2022 at "Algorithms"

DOI: 10.3390/a15100342

Abstract: In this study, a new approach for novelty and anomaly detection, called HPFuzzNDA, is introduced. It is similar to the Possibilistic Fuzzy multi-class Novelty Detector (PFuzzND), which was originally developed for data streams. Both algorithms… read more here.

Keywords: clustering approach; hybrid clustering; hpfuzznda; anomaly detection ... See more keywords