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150 articles for “clustering algorithm”
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Research ArticleOpen accessIn the abstractArchitectural Review of Load Balancing Single System ImageB. S. Ahmed, K. Samsudin, A. R. RamliProblem statement: With the growing popularity of clustering application combined with apparent usability, the single system image is in the limelight and actively studied as an alternative solution for computational intensive applications as well as the platform for next evolutionary grid computing era. Approach: Existing researches in this field concentrated on various features of Single System Images like file system … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 8,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTHORSHIP CATEGORIZATION IN EMAIL INVESTIGATIONS USING FISHER’S LINEAR DISCRIMINANT METHOD WITH RADIAL BASIS FUNCTIONA. Pandian, Md. Abdul Karim SadiqEmail plays a vital role in faster communication. Lots of mails are sent to common public with falsified information that appears to be a realistic. It is mandatory to trace the origin of the email and the authors/systems responsible for generating such emails. Representative signatures of email are to be generated using lexical and syntactic based methods. The signature of … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BROADCAST BASED ROUTING PROTOCOL FOR INTER-CLUSTER DATA DISSEMINATION IN VEHICULAR COMMUNICATIONAuxeeliya Jesudoss, S. V. Kasmir Raja, Ashraph SulaimanVehicular communication is one of the fast growing and promising technologies for a safe and comfortable driving environment. These technologies do not end up with economic and safety ramifications, but also extended with other informational and entertainment oriented services. Data are being propagated multi-hop between source and destination vehicles for many real-life applications. Clustering is one of the effective and … …Journal of Computer Science, Vol. 10, Issue 5 · 30 Dec 2013 · 7,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Resonance Theory Training Parameters: Pretty Good SetsTaisir Mohammad Eldos, Abdulaziz Suleiman AlmazyadProblem statement: ART1 artificial neural networks offer good tools for test clustering, where no expert is needed if the system is well trained. However, having no output reference for the input patterns makes it hard to judge the quality of the training. Moreover, the performance depends to a great extent on a set of training parameters. Designers follow some recommendations … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractDepth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution MethodM. G.E. Dawi, Liu Tianyou, Shi Hui, Luo DapengEuler deconvolution method is the method of depth estimation which is best suited for anomalies caused by isolating and multiple anomalous sources. In the present study, algorithmic programs based on generalizing linear inverse theory, uses a least square sense to solve for Euler’s equation is being written. The Euler technique that can estimate the location of a simple body from … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,459 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA CURE Algorithm for Vietnamese Sentiment Classification in a Parallel EnvironmentVo Ngoc Phu, Vo Thi Ngoc Tran, Jack MaxSolutions to process big data are imperative and beneficial for numerous fields of research and commercial applications. Thus, a new model has been proposed in this paper to be used for big data set sentiment classification in the Cloudera parallel network environment. Clustering Using Representatives (CURE), combined with Hadoop MAP (M) / REDUCE (R) in Cloudera – a parallel network … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Apr 2018 · 7,437 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSegmentation of Exudates via Color-based K-means Clustering and Statistical-based ThresholdingAtef Zaki Ghalwash, Aliaa Abdel-Halim Youssif, Ali Mohamed Nabil AllamThis paper provides a novel approach for the problem of detecting the yellowish lesions in the eye fundus images, such as hard and soft exudates, in a fully-automated manner. To solve this problem of segmenting exudates automatically, the fundus image was first converted into the L*a*b* color space to decouple the chromaticity information of the image. Next, the fundus image … …Journal of Computer Science, Vol. 13, Issue 10 · 14 Oct 2017 · 7,725 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSentiment Analysis of Arabic Reviews for Saudi Hotels Using Unsupervised Machine LearningSamar Alosaimi, Maram Alharthi, Khloud Alghamdi et al.Virtual worlds such as social networking sites, blogs and content communities are extremely becoming one of the most powerful sources for news, markets, industries etc. These virtual worlds can be used for many aspects, because they are rich platforms full of feedback, emotions, thoughts and reviews. The main objective of this paper is to cluster Arabic reviews of Saudi hotels … …Journal of Computer Science, Vol. 16, Issue 9 · 25 Sep 2020 · 7,156 accessesView PDFCite