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A hierarchical clustering based PMS is proposed to predict the positions through performing information fusion and redundancy removal on existing complete data.
Abstract—Many scenarios require continuous positioning for mobile nodes, such as mobile wireless sensor networks (MWSN), the Internet of Things (IoT), ...
Dendro Tool allows analysts to quickly and easily determine the similarity between seismic events using the waveform time-series for each of the events to ...
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Dec 7, 2015 · In this paper, we propose a lightweight hierarchical cluster-based location service in city environments (HCBLS). HCBLS integrates a logical ...
Mar 11, 2024 · Hierarchical clustering is a connectivity-based clustering model that groups the data points together that are close to each other based on the measure of ...
Aug 8, 2021 · The hierarchical clustering method groups similar data samples into clusters in a bottom-up fashion. It initialises each data sample as a ...
We describe here our use of Kolmogorov–Zurbenko filtering and hierarchical clustering of NO 2 and SO 2 passive and continuous monitoring data to analyse and ...
Missing: Position | Show results with:Position
Feb 1, 2020 · This Article is brought to you for free and open access by the School of Geosciences at Digital Commons @. University of South Florida.
In this research work, a process monitoring technique based on Hierarchical Cluster Analysis (HCA) was developed with the aim to recognize improper process ...
Apr 9, 2024 · Hierarchical clustering is a data analysis technique designed to sort data points into clusters, or groups, based on a set of similar characteristics.
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