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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
Published 2022Subjects: Get full text
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masterThesis -
2
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
Published 2015“…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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3
A Survey of Data Clustering Techniques
Published 2023Subjects: “…Cluster analysis -- Data processing…”
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masterThesis -
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. …”
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masterThesis -
6
Convergence and steady-state analysis of the normalized least mean fourth algorithm
Published 2007“…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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Convergence and steady-state analysis of the normalized least mean fourth algorithm
Published 2007“…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016“…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …”
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doctoralThesis -
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
Published 2019“…The data embedding algorithm guarantees that a maximum of one partition is modified per message segment, therefore, in a given CU, either 0, 1 or 2 partitions are modified. …”
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
Published 2021“…<p dir="ltr">In the current ongoing crisis, people mostly rely on mobile phones for all the activities, but query analysis and mobile data security are major issues. Several research works have been made on efficient detection of antipatterns for minimizing the complexity of query analysis. …”
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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13
Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Subjects: “…Genetic algorithms -- Data processing…”
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masterThesis -
14
On the steiner walk problem. (c2009)
Published 2009Subjects: “…Euclidean algorithm -- Data processing…”
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masterThesis -
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A genetic algorithm for corrective retesting. (c1995)
Published 1995Subjects: Get full text
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masterThesis -
17
Convergence behavior of the normalized least mean fourth algorithm
Published 2000“…The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS
Published 2020“…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …”
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Three-phase approach for curriculum-based course timetabling problem. (c2012)
Published 2012Subjects: “…Scheduling -- Data processing…”
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20