Search Results - (( its application clustering algorithm ) OR ( web application sensor algorithm ))*
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Data clustering using the bees algorithm
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Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours
Published 2024thesis::doctoral thesis -
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Modified ACS centroid memory for data clustering
Published 2019“…A comparison of the performance of several common clustering algorithms using real-world data sets shows that the accuracy of the proposed algorithm surpasses those of its counterparts.…”
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An improved ACS algorithm for data clustering
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Human health status IoT device using data optimization algorithm / Albin Lemuel Kushan ... [et al.]
Published 2021“…This project aims to produce a device that can be used to identify the current health status of a person using sensor and a data optimization algorithm. Furthermore, this project uses CT-UNO (Arduino Uno) microcontroller as its base together with the LM-35 Body Temperature sensor and the Pulse Sensor for reading heart rate, and a web system to manage the data collected. …”
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
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Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Published 2006“…In this work the applications of a number of self-organizing map (SOM) neural network algorithms to the clustering of chemical datasets are investigated. …”
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Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
Published 2006“…In this work the applications of a number of self-organizing map (SOM) neural network algorithms to the clustering of chemical datasets are investigated. …”
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A novel clustering based genetic algorithm for route optimization
Published 2016“…Furthermore, the proposed algorithm converged to global solution within few iterations (generations) thus favoring its acceptability for online-realtime applications. …”
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A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
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Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…This project has the capability to reduce the execution time of application problem using parallel algorithms to increase efficiency of cluster computing. …”
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