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MuDi-Stream: A multi density clustering algorithm for evolving data stream
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On density-based data streams clustering algorithms: A survey
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…This study proposes a density-based algorithm for clustering evolving data streams. …”
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Document clustering based on firefly algorithm
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Adaptive firefly algorithm for hierarchical text clustering
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Biological-based semi-supervised clustering algorithm to improve gene function prediction
Published 2011“…We tested our new computational framework for semi-supervised clustering of yeast gene expression data based onmultiple functional annotation databases. …”
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A buffer-based online clustering for evolving data stream
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm for Categorical Data
Published 2014“…While many algorithms for clustering categorical data have been proposed, some have low clustering accuracy while others have high computational complexity. …”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Fuzzy clustering algorithms and their applications to chemical datasets
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Autonomous and deterministic supervised fuzzy clustering
Published 2010“…A fuzzy model based on an enhanced supervised fuzzy clustering algorithm is presented in this paper. …”
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