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Knowledge-based genetic algorithm for multidimensional data clustering
Published 2013“…In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering. …”
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Proceeding Paper -
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Knowledge-based genetic algorithm for multidimensional data clustering
Published 2014“…In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering. …”
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An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis
Published 2022“…The k-means and the Gaussian mixture distribution were adopted as the clustering algorithms and each algorithm was tested on four datasets with four distinct clustering evaluation criteria: Calinski-Harabasz, Davies-Bouldin, Gap and Silhouette. …”
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Book Chapter -
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…In general, genetic based clustering algorithms showed the ability to reach near global optimal solution. …”
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Performance analysis of clustering based genetic algorithm
Published 2016“…In this work, performance analysis of Clustering based Genetic Algorithm (CGA) proposed in the literature has been undertaken. …”
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Unequal clustering by improved particle swarm optimization in wireless sensor network
Published 2015“…The performance of the adopted IPSO algorithm are validated by Numerical experiments in conventional background, however it has not been deployed in cluster-based WSNs which is done by this research. …”
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Design and analysis of management platform based on financial big data
Published 2023“…In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. …”
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Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm
Published 2019“…This paper describes the adoption of Fuzzy Adaptive Fuzzy Teaching Learning based Optimization (ATLBO) for software module clustering problem. …”
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Conference or Workshop Item -
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A Grid-Based Reliable Routing (GBRR) protocol for wireless sensor networks
Published 2019“…In this research, collaborated with clustering and grid-based routing features, the proposed protocol uses a combination of clustering protocols and geographical protocols with greedy algorithm to accomplish the scalability and adaptability of the randomly deployed sensor networks in a dense and large-scale network. …”
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10
A multi-view clustering algorithm for attributed weighted multi-edge directed networks
Published 2022“…The clustering results are analyzed based on the clusters entropy and density, meanwhile the precision and F-score indexes measure the accuracy of them.…”
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Centre based evolving clustering framework with extended mobility features for vehicular ad-hoc networks
Published 2021“…This framework uses an evolving data clustering algorithm by adopting the concept of grid granularity to capture the features of a cluster more efficiently. …”
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…Classic bag of visual words algorithm is based on k-means clustering and every SIFT features belongs to one cluster and it leads to decreasing classification results. …”
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Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
Published 2020“…K-means clustering revealed that a high percentage of base pressure is in the lower range. …”
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Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi
Published 2013“…Among all these approaches, clustering is one of the most-used approaches, which is typically adopted in order to group data based on their similarities. …”
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Thesis -
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On-Demand Hybrid Routing for Cognitive Radio Ad-Hoc Network
Published 2016“…At first, a novel spectrum-aware clustering mechanism is introduced. The proposed clustering mechanism divides node into clusters based on three values: spectrum availability, power level of node, and node stability. …”
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Cluster-based spectrum sensing scheme in heterogeneous network
Published 2015“…Therefore, this paper focuses on unused spectrum sensing (SS) through proposing cluster-based spectrum sensing for OFDM based two-tier HetNets. …”
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Book Chapter -
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Cluster-based spectrum sensing scheme in heterogeneous network
Published 2014“…Therefore, this paper focuses on unused spectrum sensing (SS) through proposing cluster-based spectrum sensing for OFDM based two-tier HetNets. …”
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Proceeding Paper