Results 1 to 10 of about 15,127 (194)
An Improved DBSCAN Algorithm Based on the Neighbor Similarity and Fast Nearest Neighbor Query
IEEE Access, 2020 DBSCAN is the most famous density based clustering algorithm which is one of the main clustering paradigms. However, there are many redundant distance computations among the process of DBSCAN clustering, due to brute force Range-Query used to retrieve ...
Shanshan Li
exaly +3 more sources
Research of alarm correlation technique for edge cloud computing in power communication network
Dianzi Jishu Yingyong, 2021 The demand for electric power and the coverage of power communication network has been gradually expanding, which brings the challenges that need to be addressed in the operation and maintenance of the domain.
Li Jixuan +4 more
doaj +1 more source
Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms
Inspiration, 2022 Pandemic Covid-19 has spread rapidly, causing a severe health crisis worldwide, including Indonesia. As is well known, due to Indonesia’s diverse population, there are differences in the number of cases between cities.
Muhammad Arfan Bandi +1 more
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Determining parameters of DBSCAN Algorithm in Dynamic Environments Automatically using Dynamic Multi-objective Genetic Algorithm [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Spatio-temporal (ST) clustering is a relatively new field in data mining with great popularity, especially in geographic information. Moving objects are a type of ST data where the available information on these objects includes their last position.
Z. Falahiazar, A.R. Bagheri, M. Reshadi
doaj +1 more source
Sensors, 2023 Customer segmentation has been a hot topic for decades, and the competition among businesses makes it more challenging. The recently introduced Recency, Frequency, Monetary, and Time (RFMT) model used an agglomerative algorithm for segmentation and a ...
Asmat Ullah +7 more
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Segmentation of the Melanoma Lesion and its Border
International Journal of Applied Mathematics and Computer Science, 2022 Segmentation of the border of the human pigmented lesions has a direct impact on the diagnosis of malignant melanoma. In this work, we examine performance of (i) morphological segmentation of a pigmented lesion by region growing with the adaptive ...
Surówka Grzegorz, Ogorzałek Maciej
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Utilizing GIS for the exploration of possible neolithic sites contemporary to Göbeklitepe
Geocarto International, 2023 This study focuses on the identification of potential neolithic sites in Southeast Anatolia, specifically those contemporary to Göbeklitepe. While several neolithic sites have been explored in the region, there is a possibility of undiscovered sites ...
Nizar Polat
doaj +1 more source
Barekeng, 2023 Cluster analysis is a technique for grouping objects in a database based on their similar characteristics. The grouping results are said to be good if each cluster is homogeneous, and can be validated using the silhouette coefficient test.
Taufiq Akbar +2 more
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Clustering based Contact Tracing Analysis and Prediction of SARS-CoV-2 Infections [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2022 INTRODUCTION: Contact tracing is a method to track the victims, which have been infected from the host with any particular disease.
Meenu Gupta +4 more
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Improving the performance of the FCM algorithm in clustering using the DBSCAN algorithm [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2023 The fuzzy-C-means (FCM) algorithm is one of the most famous fuzzy clus-tering algorithms, but it gets stuck in local optima. In addition, this algo-rithm requires the number of clusters.
S. Barkhordari Firozabadi +3 more
doaj +1 more source