Search Results - (( parallel using clustering algorithm ) OR ( java application optimization algorithm ))
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An efficient parallel clustering algorithm on big data using Spark
Published 2022“…Here we are proposing a new parallel fuzzy clustering algorithm called "An efficient parallel clustering algorithm on big data using spark" which deals with real-time processing. …”
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Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…The objectives of this project to set-up Beowulf cluster computer to apply the Travelling Salesman Problem in parallel by using Genetic Algorithms and evaluate sequential algorithms and parallel algorithms by Genetic Algorithms. …”
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Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
Published 2010“…The parallel algorithm was developed using C language with the utilization of the Message Passing Interface (MPI) library. …”
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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…After classifying the time set using the canopy with the K-means algorithm and the vector representation weighted by factors, the clustering impact is assessed using purity, precision, recall, and F value. …”
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Therefore, we develop a Parallel Fuzzy C-Median Clustering Algorithm Using Spark for Big Data that can handle large datasets while maintaining high accuracy and scalability. …”
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Parallel matrix-multiplication algorithm on network of workstations
Published 2004“…We present the comparison in terms of speed between serial algorithm and the parallel algorithm when we run them on our cluster. …”
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Parallel Processing of RSAAlgorithm Using MPI Library
Published 2006“…This report explains the project of developing Parallel Processing of RSA Algorithm Using MPI Library. …”
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Final Year Project -
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Development of a parallel clustering of bilingual corpora based on reduced terms
Published 2015“…The quality of clustering bilingual text documents is highly influenced by the quality of the bag-of-word presentation of Malay text articles presented to the clustering algorithm. …”
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Parallel execution of distributed SVM using MPI (CoDLib)
Published 2023“…Instead of using a single machine for parallel computing, multiple machines in a cluster are used. …”
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The parallelization of the Keller box method on heterogeneous cluster of workstations
Published 2008“…This paper will describe the parallelization of the Keller-box method using the high performance computing on heterogeneous cluster of workstations. …”
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A spark-based parallel fuzzy C median algorithm for web log big data
Published 2022“…Due to these factors, the data mining clustering technique is one of the most crucial tools for collecting useful data from the web. …”
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Communication and computational cost on parallel algorithm of PDE elliptic type
Published 2009“…The parallel algorithms of 2-dimensional Partial Differential Equation (PDE) elliptic type for the prediction will be executed using distributed memory of heterogeneous cluster platform on LINUX-based environment. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…This paper proposed the NAGE method as a straight forward transformation from sequential to parallel algorithm using domain decomposition and splitting strategies. …”
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Conference or Workshop Item -
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A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults
Published 2019“…This paper proposes a new approach that makes use of a divisive network community clustering algorithm to isolate faults into separate fault-focused communities that target a single fault each. …”
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The study also includes an observation of the behaviour of the cells graphically and Parallel Virtual Machine (PVM) is used to communicate the platforms involved in the computational clusters. …”
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