Search Results - (( basic reduction methods algorithm ) OR ( java implementation clustering algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Schelkunoff array synthesis methods using adaptive-iterative algorithm
Published 2003“…Basically, this algorithm is a combination of iterative algorithm with adaptive algorithm. …”
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An Integrated Approach to the Reduction of Reactive Power Losses in Radial Distribution Network
Published 2004“…The objective of this project is to compensate reactive power with appropriate methods. There are basically two commonly usedmethods: network reconfiguration and capacitor insertion. …”
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Development of a new nonlinear filtering algorithm for impulse noise reduction
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Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching
Published 2017“…The feature vector of the vein pattern was then dimensionality reduction by Principal Component Analysis (PCA). The Speeded-Up Robust Features (SURF) Algorithms is used to determine the interest points. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Effect of model simplification through manual reduction in number of surfaces on room acoustics simulation
Published 2019“…Various simplification algorithms were previously suggested. However, they are highly demanding methods, which are more suitable for large complicated spaces. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…The final results have proved that HPSO algorithm could achieve 5% - 34% of computation cost reduction with satisfying degradation value of image quality. …”
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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Hybrid artificial bee colony algorithm with branch and bound for two–sided assembly line balancing
Published 2018“…Nevertheless, the ABC is also known to be a slow converging method in achieving an optimal solution. This research is intended to improve the ABC performance in solving the 2SALB problem with the objectives to hybrid ABC algorithm with branch and bound concept and to evaluate the performance of this algorithm in minimizing idle time and number of the workstation . …”
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Hybrid block method for direct numerical approximation of second order initial value problems using Taylor Series Expansions
Published 2017“…The rigor of reduction to a system of first order initial value problems is bypassed as the hybrid block method directly solves the second order IVPs. …”
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