Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

Subjects: “…Data clustering…”

HIERARCHAL CLUSTERING ALGORITHM FOR LARGE XML DATA by unknown

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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …”
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A Survey of Data Clustering Techniques by Sobeh, Salma

Subjects: “…Cluster analysis -- Data processing…”
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Clustering/partitioning algorithms and comparative analysis by Touma, Walid Rachid

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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization by Abu Zitar, Raed

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A Novel Iterative non-Deterministic Algorithm for the Data Clustering Problem by unknown

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An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

“…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

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Web Based Online Hybrid Teaching Method of Network Music Course by Abu Zitar, Raed

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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

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Improved search-tree algorithms for the cluster edit problem. (c2011) by Ghrayeb, Ali Kassem

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Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

Subjects: “…Cluster analysis -- Data processing…”
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A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

“…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. …”
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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM by Kamel, M.S.

“…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
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The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

“…This new trend has been motivated by hardness of approximation results that appeared in the last decade, and has taken a great boost by the emergence of parameterized complexity theory. Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …”
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence by Atiq Ur Rehman (8843024)

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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …”
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(k, l)-Clustering for Transactional Data Streams Anonymization by Tekli, Jimmy

“…We evaluate our algorithm in terms of utility by considering two different (k, l)-clustering approaches.…”
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Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

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