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147 results for “Clustering Method”
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Research ArticleOpen accessPhrase in the titleTWO PHASE CLUSTERING METHOD FOR LEACH PROTOCOL FOR EFFECTIVE CLUSTER HEAD SELECTIONRathi, ViswanathanA Wireless Sensor Networks (WSN) comprise of a huge quantity of clusters of sensor nodes that can inter communicate with all nodes and with the base station through a wireless link. All clusters are corresponding to a cluster head to provide a direct communication to the base station and in addition with other cluster heads. Obviously well-organized selection of cluster … …Journal of Computer Science, Vol. 10, Issue 3 · 21 Nov 2013 · 7,122 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Fuzzy Clustering Based Method for the Spatio-Temporal Data AnalysisAnahita Zolghadr, Afsaneh JalalianSpatiotemporal data is a type of data that is collected by the sensors. This type of data has two spatial and temporal dimensions. There are many challenges in analyzing spatiotemporal big data. Common evaluation metrics of clustering methods are not appropriate for spatiotemporal data. Previous clustering methods and the conventional evaluation metrics are efficient for data like time series with … …Journal of Computer Science, Vol. 18, Issue 6 · 13 Jun 2022 · 5,638 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Method for Multipath Clustering for Over-the-Horizon RadarAshraf M. Aziz, Senior Member, IEEE et al.Over-the-Horizon Radar (OTHR) exploits the refraction of high frequency radiation through the ionosphere layers to detect targets beyond the line-of-sight horizon. Multipath propagation between the radar and the detected targets may results in multiple spatially separated tracks for a single target to be observed at the receiver site. Consequently there is a heavy traffic, especially in case of multiple targets, … …American Journal of Applied Sciences, Vol. 13, Issue 10 · 29 Sep 2016 · 7,285 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleReal-Time Simulation Method Using Monte Carlo and Clustering Algorithms: A Case Study Covering Drill Bit WearRodolfo Wilvert Reitz, Paulo José de Freitas FilhoMinimization of the cost of drilling an oil well is primarily achieved by reducing the operation completion time, which in turn can be achieved by increasing the Rate of Penetration (ROP). The ROP is the result of a combination of factors, such as lithological formation, operational parameters and bit wear. This paper addresses bit wear during drilling, using a method … …Journal of Computer Science, Vol. 14, Issue 2 · 27 Feb 2018 · 8,210 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGroup Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid MethodSri Setiyowati, Sumiati, Sutarti et al.Determination of regional development priorities is usually influenced by two factors, firstly the policy-making subjectivity (regional head) second to the results of the development data analysis. But both often do not go hand in hand because in fact subjectivity is more dominant than combining the two. The development of computational technology, especially in the area of decision support, provides space … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 7,824 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetecting Anomalies in IoT Using Intuitionistic Fuzzy Clustering AlgorithmsVijo Arul Selvi M., Fehmin Nadira Laskar, Fokrul Alom Mazarbhuiya et al.Intuitionistic Fuzzy Sets (IFS) are convenient ways to represent the vagueness and uncertainty inherent in any dataset. There are many uses of these. One such use is the Fuzzy C-Means (FCM) algorithm, which clusters the data objects into a pre-assigned (c) number of fuzzy clusters, which has been adopted in many fields, namely, pattern classification, anomaly detection, fraud identification, etc. … …Journal of Computer Science, Vol. 22, Issue 2 · 2 Mar 2026 · 1,600 accessesView PDFCite
InvestigationOpen accessIn the keywordsA Conceptualization of Distributed Computation for Machine Learning: The Voting AlgorithmTalal Talib JameelThis paper describes a voting algorithm that can be used to find the most optimal solution to clustering problems in machine learning. As part of the family of algorithms known as Condorcet methods, the voting algorithm is used to choose a particular candidate, even in the absence of a definitive majority. The algorithm proceeds in two steps: Renormalization and reconciliation. … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 2 Mar 2017 · 7,890 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStar Catalog Generation for Satellite Attitude Navigation Using Density Based ClusteringMuhammad Arif Saifudin, Bib Paruhum Silalahi, Imas Sukaesih SitanggangA new method to generate star catalog using density-based clustering is proposed. It identifies regions of a high star density by using Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Reducing the number stars performed by storing the brightest star in each cluster. The brightest star and all non-clustered members are then stored as a navigation star candidate. Monte … …Journal of Computer Science, Vol. 11, Issue 12 · 1 Feb 2016 · 6,970 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCLUSTER BASED DUPLICATE DETECTIONA. Venkatesh Kumar, S. VengataasalamWe propose a clustering technique for entropy based text dis-similarity calculation of de-duplication system. Improve the quality of grouping; in this study we propose a Multi-Level Group Detection (MLGD) algorithm which produces a most accurate group with most closely related object using Alternative Decision Tree (ADT) technique. Our propose a two new algorithm; first one is Multi-Level Group Detection (MLGD) … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,035 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFast Real Time Analysis of Web Server Massive Log Files using an Improved Web Mining ArchitectureC. Kavitha, Ramesh RajamanickamThe web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the task are to reduce the log files and classify the best results to reach the task which we used. Aimed … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 6,340 accessesView PDFCite