Search Results - (( java implementation clustering algorithm ) OR ( using minimum data 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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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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Final Year Project -
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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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Conference or Workshop Item -
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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…It is followed by identifying RES sites using spatial data and Multi-Criteria Decision Making-Analytical Hierarchy Process (MCDM-AHP) algorithm. …”
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Finding the shortest route using Dijkstra’s algorithm with application to ride hailing in UiTM Cawangan Negeri Sembilan Kampus Seremban / Nur Husnina Hassan, Nurin Hadrah Syahira M...
Published 2022“…Therefore, to find the shortest route with minimum time, Dijkstra's Algorithm will be used. Apart from that, the Dijkstra’s Algorithm used in this study will allow us to find the smallest weight path for all permanently labelled Nod once it has been run. …”
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Student Project -
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Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman
Published 2009“…The results show that the proposed method provides the minimum cost was compared with recorded data of traditional method using table comparison. …”
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…To avoid such overheads many techniques have been used, however in this thesis stream-based data processing model is used in which data is processed in the form of continuous instances of data items. …”
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Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data (penambahbaikan...
Published 2025“…Instead of using robust score distance to detect HLPs as in ROBPCA; in the proposed IRPCA, we have considered using Robust Mahalanobis distance (RMD). …”
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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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Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data
Published 2025“…Instead of using robust score distance to detect HLPs as in ROBPCA; in the proposed IRPCA, we have considered using Robust Mahalanobis distance (RMD). …”
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Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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Working Paper -
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Fatigue data editing algorithm for automotive applications
Published 2005“…For both data sets, the bump signals length were at minimum of 40% of their respective original signals, and almost 90% original fatigue damage was retained in the bump signals, as calculated using the strain-life models of Smith-Watson- Topper and Morrow. …”
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Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun
Published 2019“…The algorithm were used to perform the supervised classification. …”
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Prediction of Machine Failure by Using Machine Learning Algorithm
Published 2019“…Then, the data is cluster by using K Means to produce labeled input that will be trained by using Gradient Boosting Machine, a decision tree algorithm to make prediction. …”
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Final Year Project -
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Hybrid artificial bee colony algorithm with branch and bound for two–sided assembly line balancing
Published 2018“…Recently, the artificial bee colony (ABC) algorithm was used in the solution process where it was considered as a very useful, effective and well-known algorithm. …”
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