A systematic density-based clustering method using anchor points
نویسندگان
چکیده
منابع مشابه
Improvement of density-based clustering algorithm using modifying the density definitions and input parameter
Clustering is one of the main tasks in data mining, which means grouping similar samples. In general, there is a wide variety of clustering algorithms. One of these categories is density-based clustering. Various algorithms have been proposed for this method; one of the most widely used algorithms called DBSCAN. DBSCAN can identify clusters of different shapes in the dataset and automatically i...
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Localization is an important topic in the wireless sensor networks (WSN) because sensor nodes are randomly scattered over a region and can get connected into a network on their own. In this paper, we proposed an adaptive DV-HOP location algorithm using anchor-density-based clustering for wireless sensor networks. First, we select the maximum core density anchor node as head to reduce regional d...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2020
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2020.02.119