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  1. 1
    An enhanced cluster head selection algorithm for routing in mobile AD-HOC network

    An enhanced cluster head selection algorithm for routing in mobile AD-HOC network by Abdulsaheb, Ghaida Muttasher

    Published 2017
    “…This thesis proposes a cluster based routing protocol, the Enhanced Cluster Routing Protocol (ECRP), which uses a modified cluster formation algorithm to build the cluster structure and select one of the nodes to be the cluster head. …”
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  2. 2
    An Efficient Cluster Head Election Algorithm for Client Mesh Networks using Fuzzy Logic Control

    An Efficient Cluster Head Election Algorithm for Client Mesh Networks using Fuzzy Logic Control by Adekiigbe, Adebanjo, Ahmed, Abdulghani Ali, Sadiq, Ali Safa, Ghafoor, Kayhan Zrar, Kamalrulnizam, Abu Bakar

    Published 2017
    “…The algorithm applied fuzzy logic control to produce score value for each client nodes based on the three parameters for the cluster heads to be selected. …”
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  3. 3
    Development of compound clustering techniques using hybrid soft-computing algorithms

    Development of compound clustering techniques using hybrid soft-computing algorithms by Salim, Naomie, Shamsuddin, Siti Mariyam, Salleh @ Sallehuddin, Roselina, Alwee, Razana

    Published 2006
    “…The hierarchical fuzzy clustering algorithm developed in this work assign the overlapping structures (structures having more than one activity) to more than one clusters if their fuzzy membership values are significantly high for those clusters. …”
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  4. 4
    An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime

    An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime by Alhmood, Ali Abdul-Hussian Hassan

    Published 2021
    “…Lastly, cluster heads (CHs) are selected in optimal locations with the rotation of the CH function among members of the cluster based on a new CH selection-rotation algorithm by combining a back-off timer mechanism for CH selection and rotation mechanism for CH rotation. …”
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  5. 5
    Clustering Spatial Data Using a Kernel-Based Algorithm

    Clustering Spatial Data Using a Kernel-Based Algorithm by Awan, A. Majid, Md. Sap, Mohd. Noor

    Published 2005
    “…Therefore, this work comes up with new clustering algorithm using kernel-based methods for effective and efficient data analysis by exploring structures in the data.…”
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  6. 6
    Energy Efficient Technique for Cluster Head Selection and Data gathering in Wireless Sensor Network

    Energy Efficient Technique for Cluster Head Selection and Data gathering in Wireless Sensor Network by Asfandyar, khan, Imran, M., Azween, Abdullah

    Published 2008
    “…LEACH [13] is one the famous cluster-based structure, which has been widely proposed in wireless sensor Networks. …”
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  7. 7
    Optimized subtractive clustering for cluster-based compound selection

    Optimized subtractive clustering for cluster-based compound selection by Kuik, Sok Ping, Salim, Naomie

    Published 2006
    “…One of the widely used methods in compound selection is cluster-based selection where the compound datasets are grouped into clusters and representative compounds are selected from each cluster. …”
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  8. 8
    Energy Efficient LEACH (EE-LEACH) Routing Algorithm for Wireless Sensor Networks

    Energy Efficient LEACH (EE-LEACH) Routing Algorithm for Wireless Sensor Networks by Pillay, Kosheila Sundram

    Published 2019
    “…However, it does not guarantee a balanced selection of cluster heads (CHs) and equal cluster size, resulting in an imbalanced load distribution among the CHs. …”
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  9. 9
    Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing

    Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing by Leong, S.H., Ong, S.H.

    Published 2017
    “…Multiple partial images are clustered separately through Gaussian mixture model clustering with a scan and select procedure to enhance the inclusion of small image details. …”
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  10. 10
    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…In conventional hard clustering approach, the number of clusters was determined by hierarchical clustering and two-step cluster analysis; then the sites were allocated to the appropriate cluster by k-means clustering method. …”
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  11. 11
    A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat

    A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

    Published 2021
    “…Modifications of K-Means structures were done by inserting genetic algorithm operators and tuning the population. …”
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  12. 12
    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz

    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz by Yafooz, Wael Mohamed Shaher

    Published 2014
    “…Their name entities and top most frequent terms are selected for the factors used in a cluster assignment. …”
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  13. 13
    A cluster-based hybrid replica control protocol for high availability in data grid

    A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

    Published 2019
    “…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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  14. 14
    A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES

    A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES by Ling, Chien

    Published 2020
    “…The clustering algorithms are written using Python language by modifying the coding obtained from the Internet. …”
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    Final Year Project Report / IMRAD
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  15. 15
    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Here, the memory consumption can be reduced by enabling a feature selection algorithm that excludes nonrelevant features and preserves the relevant ones. the algorithm is developed based on the variable length of the PSO. …”
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  16. 16
    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem

    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem by Mohd Dzulkifli, Syarizul Amri

    Published 2021
    “…One of the limitations of WKM-SVM is the clustering centers may not suitably represent original data structures which can potentially cause poor prediction results. …”
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  17. 17
    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem

    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem by Mohd Dzulkifli, Syarizul Amri

    Published 2021
    “…One of the limitations of WKM-SVM is the clustering centers may not suitably represent original data structures which can potentially cause poor prediction results. …”
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  18. 18
    The development of semantic meta-database: an ontology based semantic integration of biological databases

    The development of semantic meta-database: an ontology based semantic integration of biological databases by Samsudin, Ruhaidah, Deris, Safaai, Othman, Muhammad Razib, Md. Illias, Rosli

    Published 2007
    “…The tool comprises two intelligent algorithms. The first algorithm combines parallel genetic algorithm with the split-and-merge algorithm. …”
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  19. 19
    Sectoral GDP Convergence of Selected RCEP Countries: Lead or Lags?

    Sectoral GDP Convergence of Selected RCEP Countries: Lead or Lags? by Dyg Affizzah, Awang Marikan, Md Mahbubur, Rahman, Nor Afiza, Abu Bakar, Mohammad Affendy, Arip

    Published 2017
    “…To investigate further, further clustering algorithm is applied and resulted in three clubs, indicating advanced countries (Japan, Singapore and Korea) lead club, Upper-middle income countries (Malaysia, China and Thailand) as second club,and finally lower middle income (Indonesia, Philippines and India) form another club. …”
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  20. 20
    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images

    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images by Farzan, Ali

    Published 2015
    “…So, a rank based feature selection algorithm is proposed to address these issues. …”
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