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  1. 1
    A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds

    A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds by Salim, Naomie, Shah, J. Z.

    Published 2007
    “…The algorithm divides each and every cluster, if its size is larger than a pre-determined threshold, into two sub clusters based on the membership values of each structure. …”
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  2. 2
    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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    Monograph
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  3. 3
    Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach

    Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach by Othman, Khairulnizam

    Published 2022
    “…Segmentation clustering algorithms have setbacks on overlapping clusters, proportion, and multidimensional scaling to map and leverage the data. …”
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  4. 4
    Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

    Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach by Ullah, S., Daud, H., Dass, S.C., Khan, H.N., Khalil, A.

    Published 2017
    “…To address this problem, a new algorithm is proposed, which uses a co-clustering strategy to detect prospective and retrospective space-time disease clusters with no restriction on shape and size. …”
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  5. 5
    Improving The Institutional Research and Publication Performances Using Clustering Algorithm

    Improving The Institutional Research and Publication Performances Using Clustering Algorithm by Mohmad Kamal, Fazillah, Omar, Mohd Faizal, Jamil, Jastini

    Published 2021
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  6. 6
    Software module clustering: An in-depth literature analysis

    Software module clustering: An in-depth literature analysis by Qusay I., Sarhan, Ahmed, Bestoun S., Bures, Miroslav, Kamal Z., Zamli

    Published 2022
    “…Implementing software module clustering with optimal results is challenging. …”
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  7. 7
    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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  8. 8
    Support Vector Machines (SVM) in Test Extraction

    Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

    Published 2006
    “…In this project, Support Vector Machines (SVM) is studied and experimented by the implementation ofa textual extractor. This algorithm is used to extract important points from a lengthy document, by which it classifies each word in the document under its relevant category and constructs the structure of the summary with reference to the categorized words. …”
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  9. 9
    Support Vector Machines (SVM) in Test Extraction

    Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

    Published 2006
    “…In this project, Support Vector Machines (SVM) is studied and experimented by the implementation ofa textual extractor. This algorithm is used to extract important points from a lengthy document, by which it classifies each word in the document under its relevant category and constructs the structure of the summary with reference to the categorized words. …”
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  10. 10
    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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  11. 11
    A study on component-based technology for development of complex bioinformatics software

    A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

    Published 2004
    “…From the enriched GO tree, the BTreeBicluster algorithm is applied during the clustering process. …”
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  12. 12
    Blockchain based security framework for device authentication and data communication in decentralized IoT network

    Blockchain based security framework for device authentication and data communication in decentralized IoT network by Alahmed, Mahmoud Tayseer

    Published 2023
    “…The devices are arranged in a hierarchical structure of blockchains according to the clusters. …”
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  13. 13
    Ab-initio calculations of the structural, electronic and optical properties of (CdSe)2 clusters

    Ab-initio calculations of the structural, electronic and optical properties of (CdSe)2 clusters by Alselawe, A.I.A., Jumali, MHH, Gopir, G., M.M. Anas

    Published 2020
    “…The goal of this study was to determine the various stable geometric structure isomers of (CdSe)2 clusters; also, structural, electronic, and optical properties of the stable isomers are investigated using density functional theory (DFT). …”
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  14. 14
    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine

    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine by Raad Ali, Rabei

    Published 2019
    “…The RX_myKarve is a framework that contains both structure-based carving and content-based carving approaches. …”
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  15. 15
    An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective

    An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective by Liew, Chun Kin, Goh, Ching Pang

    Published 2023
    “…Effectively harnessing the vast and diverse pool of unstructured data on these platforms requires the extraction of structured information. This research focuses on the development of a social media web crawler, coupled with the implementation of sophisticated algorithms like Web Content Mining, Noisy Text Filtering, Named Entity Extraction, Part-Of-Speech (POS) Tagging, and Text Clustering. …”
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  16. 16
    Ab-initio Calculations of the Structural, Electronic and Optical Properties of (CdSe)2 Clusters

    Ab-initio Calculations of the Structural, Electronic and Optical Properties of (CdSe)2 Clusters by Alselawe A.I.A., Jumali M.H.H., Gopir G., Anas M.M.

    Published 2024
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    journal::journal article
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  17. 17
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  18. 18
    An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective

    An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective by Liew, Chun Kin, Goh, Ching Pang

    Published 2023
    “…Effectively harnessing the vast and diverse pool of unstructured data on these platforms requires the extraction of structured information. This research focuses on the development of a social media web crawler, coupled with the implementation of sophisticated algorithms like Web Content Mining, Noisy Text Filtering, Named Entity Extraction, Part-Of-Speech (POS) Tagging, and Text Clustering. …”
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  19. 19
    Parallel batch self-organizing map on graphics processing unit using CUDA

    Parallel batch self-organizing map on graphics processing unit using CUDA by Daneshpajouh, H., Delisle, P., Boisson, J.-C., Krajecki, M., Zakaria, N.

    Published 2018
    “…Although the structure of its training algorithm has a high potential for parallelization, focus of the previous efforts has been on the original Step-wise SOM. …”
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  20. 20
    Parallel batch self-organizing map on graphics processing unit using CUDA

    Parallel batch self-organizing map on graphics processing unit using CUDA by Daneshpajouh, H., Delisle, P., Boisson, J.-C., Krajecki, M., Zakaria, N.

    Published 2018
    “…Although the structure of its training algorithm has a high potential for parallelization, focus of the previous efforts has been on the original Step-wise SOM. …”
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