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  1. 1

    MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm for Categorical Data by Hongwu, Qin, Ma, Xiuqin, Herawan, Tutut, Jasni, Mohamad Zain

    Published 2014
    “…This research proposes mean gain ratio (MGR), a new information theory based hierarchical divisive clustering algorithm for categorical data. …”
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    Article
  2. 2

    An adaptive density-based method for clustering evolving data streams / Amineh Amini by Amini, Amineh

    Published 2014
    “…A new multi density-based clustering method forms final clusters using both summarized synopsis information and statistical information. …”
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    Thesis
  3. 3

    Adaptive firefly algorithm for hierarchical text clustering by Mohammed, Athraa Jasim

    Published 2016
    “…In this research, an adaptive hierarchical text clustering algorithm is proposed based on Firefly Algorithm. …”
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    Thesis
  4. 4

    A buffer-based online clustering for evolving data stream by Islam, Md. Kamrul, Ahmed, Md. Manjur, Kamal Z., Zamli

    Published 2019
    “…In this study, we present a fully online density-based clustering algorithm called buffer-based online clustering for evolving data stream (BOCEDS). …”
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    Article
  5. 5

    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Therefore, the document clustering based on the same category is important to help users to retrieve information they need. …”
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    Thesis
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    An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning by Islam, Md Kamrul

    Published 2019
    “…In this study, a fully online density-based clustering algorithm called Buffer-based Online Clustering for Evolving Data Stream (BOCEDS) is presented. …”
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    Thesis
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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
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    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
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    Thesis
  12. 12

    MuDi-Stream: A multi density clustering algorithm for evolving data stream by Amini, A., Saboohi, H., Herawan, T., Teh, Y.W.

    Published 2016
    “…The offline phase generates the final clusters using an adapted density-based clustering algorithm. …”
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    Article
  13. 13

    Document clustering based on firefly algorithm by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

    Published 2015
    “…Document clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters.Various efforts have been put to address such drawback and this includes the utilization of swarm-based algorithms such as particle swarm optimization and Ant Colony Optimization.This study explores the adaptation of another swarm algorithm which is the Firefly Algorithm (FA) in text clustering.We present two variants of FA; Weight- based Firefly Algorithm (WFA) and Weight-based Firefly Algorithm II (WFAII).The difference between the two algorithms is that the WFAII, includes a more restricted condition in determining members of a cluster.The proposed FA methods are later evaluated using the 20Newsgroups dataset.Experimental results on the quality of clustering between the two FA variants are presented and are later compared against the one produced by particle swarm optimization, K-means and the hybrid of FA and -K-means. …”
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    Article
  14. 14

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

    Published 2008
    “…Cluster head send the energy level and distance information of each node to base station (BS).Base station selects the cluster-head dynamically on the basis of energy level and distance. …”
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    Conference or Workshop Item
  15. 15

    An Improved Genetic Clustering Algorithm for Categorical Data by Jasni, Mohamad Zain, Qin, Hongwu, Ma, Xiuqin, Herawan, Tutut

    Published 2013
    “….: G-ANMI: A mutual information based genetic clustering algorithm for categorical data, Knowledge-Based Systems 23, 144–149(2010)] proposed a mutual information based genetic clustering algorithm named G-ANMI for categorical data. …”
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    Book Chapter
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    Nature inspired data mining algorithm for document clustering in information retrieval by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

    Published 2014
    “…Document clustering is an important technique that has been widely employed in Information Retrieval (IR). …”
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    Book Section
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    CC_TRS: continuous clustering of trajectory stream data based on micro cluster life by Abdulrazzaq, Musaab Riyadh, Mustapha, Norwati, Sulaiman, Md. Nasir, Mohd Sharef, Nurfadhlina

    Published 2017
    “…In this article, an algorithm for Continuous Clustering of Trajectory Stream Data Based on Micro Cluster Life is proposed. …”
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    Article
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