Results 1 to 10 of about 27,025 (207)
WOA-DBSCAN: Application of Whale Optimization Algorithm in DBSCAN Parameter Adaption
IEEE Access, 2023 Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a classic density-based clustering method that can identify clusters of arbitrary shapes in noisy datasets.
Xinliang Zhang, Shibo Zhou
doaj +2 more sources
Three-way DBSCAN Algorithm Based on Local Eps [PDF]
Jisuanji kexue, 2023 Density-based spatial clustering of applications with noise(DBSCAN) is a classical density-based clustering algorithm.It clusters dataset of arbitrary shape through two global parameters:radius Eps and minimum number of points MinPts,and automatically ...
SHEN Qiuping, ZHANG Qinghua, GAO Man, DAI Yongyang
doaj +1 more source
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
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
doaj +1 more source
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
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
doaj +1 more source
Cluster Analysis in Practice: Dealing with Outliers in Managerial Research
RAC: Revista de Administração Contemporânea, 2020 Context: in recent years, cluster analysis has stimulated researchers to explore new ways to understand data behavior. The computational ease of this method and its ability to generate consistent outputs, even in small datasets, explain that to some ...
Humberto Elias Garcia Lopes +1 more
doaj +1 more source
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
NI-DBSCAN: DBSCAN under Non-IID
Journal of Physics: Conference Series, 2020 Abstract DBSCAN (Density Based Spatial Clustering of Application with Noise) is an example of density-based clustering algorithm. Aiming at problem that DBSCAN algorithm assumes that the data are independent and identically distributed and the traditional distance formula is difficult to accurately calculate the similarity degree between
Yikun Lv, He Jiang, Pinchen Pan
openaire +1 more source