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    A Clustering-based Simulated Annealing Algorithm with Taguchi Method for the Discrete Ordered Median Problem by Mustafa Serdar Toksoy

    Published 2022-02-01
    “…For that purpose, we proposed a Simulated Annealing (SA) metaheuristic with K-means Clustering Algorithm in initialization for the DOMP. …”
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  3. 223

    A law of meaning by Bernhard Wälchli, Anna Sjöberg

    Published 2025-01-01
    “…This article rejects the canonical ideal of a one-to-one correspondence between meaning and marker and proposes a set-theoretical and optimality-based law for the relationship between meaning and its markers which allows for distinguishing true markers (such as not, no, never for negation) from otherwise associated items (such as negative polarity items as but, any): a meaning is expressed by the set of non-randomly recurrent markers that together are the best collocation of that meaning. …”
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  4. 224

    Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments by I Gede Bintang Arya Budaya, I Komang Dharmendra, Evi Triandini

    Published 2025-03-01
    “…Both K-Means and GMM algorithms recommended the optimal number of clusters as the customer segment is four. …”
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    The identification of cephalosporins antibiotics using IR spectroscopy and chemometric algorithms by Shabunina, Anna Yu., Rusanova, Tatyana Yu.

    Published 2024-09-01
    “…The use of mid-fi eld infrared spectroscopy in combination with chemometric algorithms for the identifi cation of cephalosporin antibiotics in the form of injectable powders is demonstrated. …”
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    Irrelevant data elimination based on a k-means clustering algorithm for efficient data aggregation and human activity classification in smart home sensor networks by Siriporn Pattamaset, Jae Sung Choi

    Published 2020-06-01
    “…In order to enhance the sensor network in smart home applications, we propose the irrelevant data elimination based on k-means clustering algorithm to enhance data aggregation. …”
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    Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder by Matthew Littman, Huy-Binh Nguyen, Joanna Campbell, Katelyn R. Keyloun

    Published 2025-05-01
    “…Here, we developed a novel kernel k-means clustering algorithm for event sequences that can accommodate highly diverse event types and sequence lengths. …”
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    An effective imputation approach for handling missing data using intuitionistic fuzzy clustering algorithms by Kavita Sethia, Jaspreeti Singh, Anjana Gosain

    Published 2025-07-01
    “…Experimental analysis and statistical analysis (Friedman Test) on four UCI datasets, using two performance metrics, Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), demonstrate that the proposed algorithms consistently outperform eight existing fuzzy clustering-based MDI algorithms.…”
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    Regional Spatial Mean of Ionospheric Irregularities Based on K-Means Clustering of ROTI Maps by Yenca Migoya-Orué, Oladipo E. Abe, Sandro Radicella

    Published 2024-09-01
    “…The results obtained could be adapted by appropriate K-means algorithms to a real-time scenario, as has been performed for other applications. …”
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