Search Results - (( parameter generation clustering algorithm ) OR ( java application learning algorithm ))
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…The clusters are generated from the clustering graphs. …”
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A Modified Symbiotic Organism Search Algorithm with Lévy Flight for Software Module Clustering Problem
Published 2020“…With parameter free algorithms, there are no parameter controls for tuning. …”
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Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning
Published 2019“…Other types of the ART-based topological clustering algorithms have been developed, however, these algorithms have various drawbacks such as a large number of parameters, sensitivity to noisy data. …”
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A buffer-based online clustering for evolving data stream
Published 2019“…Numerous researchers have recently studied density-based clustering algorithms due to their capability to generate arbitrarily shaped clusters. …”
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Hybrid Henry gas solubility optimization algorithm with dynamic cluster-to-algorithm mapping
Published 2021“…This paper discusses a new variant of Henry Gas Solubility Optimization (HGSO) Algorithm, called Hybrid HGSO (HHGSO). Unlike its predecessor, HHGSO allows multiple clusters serving different individual meta-heuristic algorithms (i.e., with its own defined parameters and local best) to coexist within the same population. …”
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Video abstraction using density-based clustering algorithm
Published 2017“…This paper presents an enhanced video abstraction approach called Density-based Surveillance video abstraction (DbSva) to generate a static short-length video. The novelty of DbSva is (a) to integrate the advantages of both the global and local features of video contents by fusion and (b) to employ the DENsity-based CLUstEring algorithm (DENCLUE) to significantly improve the quality of abstract videos. …”
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Fine-tuning approach in metaheuristic algorithm to prolong wireless sensor networks nodes lifetime
Published 2022“…This study proposed a fine-tuning solution for the sensor node's population and generation sizes. It benefits from the modified problem-oriented genetic algorithm parameters in securing the sensor node lifetime. …”
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Designing new chaotic and hyperchaotic systems for chaos-based cryptography
Published 2019“…Unlike the existing algorithms, the proposed algorithm keeps the parameters constant with varying the initial conditions that show no non-chaotic behaviors. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Hence, the algorithm must overcome the problem of dynamic updates in the internal parameters or counter the concept drift. …”
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Instance matching framework for heterogeneous semantic web content over linked data environment
Published 2021“…These discovered attributes serve as input to a modified training set generation component, where training sets are generated based on the potential attributes’ clusters. …”
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Electricity load profile determination by using fuzzy C-means and probability neural network / Norhasnelly Anuar
Published 2015“…The objectives of this project are to use FCM as the clustering algorithm to establish TLPs. The optimal number of cluster for FCM is obtained through cluster validity analysis. …”
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An Improved K-Power Means Technique Using Minkowski Distance Metric and Dimension Weights for Clustering Wireless Multipaths in Indoor Channel Scenarios
Published 2021“…The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans.…”
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A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network
Published 2018“…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network
Published 2015“…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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