Search Results - (( based applications clustering algorithm ) OR ( web application means algorithm ))*
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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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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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Density-based clustering with three clusters outperformed the K-Means algorithm with three clusters in terms of accuracy. …”
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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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Development of Web services fuzzy quality models using data clustering approach
Published 2014“…This paper presents the fuzzy clustering of web services' quality of service (QoS) data using Fuzzy C-Means (FCM) algorithm. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning
Published 2025“…The preliminary results using the K means Clustering Algorithm showed that the conceptual framework successfully grouped similar data points, facilitating the identification of skyline points. …”
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Proceeding Paper -
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A study of density-grid based clustering algorithms on data streams
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On density-based data streams clustering algorithms: A survey
Published 2017“…Recently, a lot of density-based clustering algorithms are extended for data streams. …”
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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…Second, a new dynamic HS-based fuzzy clustering algorithm (DCHS) is proposed to automatically estimate the appropriate number of clusters as well as a good fuzzy partitioning of the given dataset. …”
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Thesis -
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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…Some clustering algorithms, especially those that are partitioned-based, clusters any data presented to them even if similar features do not present. …”
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Knowledge-based genetic algorithm for multidimensional data clustering
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Due to these characteristics the traditional densitybased clustering is not applicable. Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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A novel clustering based genetic algorithm for route optimization
Published 2016“…It was also observed that the introduction of clustering based selection algorithm guaranteed the selection of cluster with the optimal solution in every generation. …”
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