Search Results - "DBSCAN clustering algorithm"

A data-driven method to identify frequency boundaries in multichannel electrophysiology data by Cohen, Michael X

“…•Frequency bands are typically defined based on somewhat arbitrary integer boundaries.•Here, a data-driven method is presented to define empirical frequency…”
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Metricam: Fast and Reliable Social Distancing Analysis in Online Security Cameras by Padilha, Bruno, Takecian, Pedro Losco, Lauro Soares, Decio, Schwerz, Andre Luis, Tadashi Kamaura, Leonardo, Ferreira, Joao Eduardo

“…Distance measurements taken from 2D camera images are subject to the correct estimation of the camera's perspective, that is, the spatial mapping from 2D points imaged by a camera to the correspondent…”
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An intelligent IoT Enabled Traffic queue handling System Using Machine Learning Algorithm by C, Shamitha, Radhika, S., K, Malathy, Ranjith, S., Sasirekha, N.

“…Overcrowding, pollutants, and logistical delays have been exacerbated by the fast expansion in the number of automobiles. The Internet of Things (IoT) is a new…”
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Power Load Data Cleaning Method Based on DBSCAN Clustering and WGAN Algorithm by Wei, Liyong, Ding, Yi, Wang, En, Liu, Lixin

“… In this paper, we first use the DBSCAN clustering algorithm to detect outliers in the original load dataset and remove the outliers with large deviations to form a dataset with vacant values…”
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USAGE OF CMS DATABASE & DBSCAN ALGORITHM IN THE MANAGEMENT OF LEARNING AND KNOWLEDGE ELECTRONIC AT APPLYING ON THE INSTITUTE OF QUALIFYING WOMEN TEACHERS by Al-deen, Anhar Khairy

“… of Qualifying Women Teachers online. E-learning Web site enables students from knowledge-sharing to work together on a common subject online using chats, email and discussion forums…”
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Finding Points-of-Interest (PoIs) from Life-logging and Location Trace Data by Chung, Seungeun, Hwang, Inyoung, Lim, Jiyoun, Jeong, Hyun Tae

“… We adopt density-based DBSCAN clustering algorithm to extract PoIs from location traces, and apply statistical analysis to decide optimal clustering parameters empirically…”
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Mining biomedical images with density-based clustering by Celebi, M.E., Aslandogan, Y.A., Bergstresser, P.R.

“…Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while…”
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