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Implementation of K-means algorithm on FGGA
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018K-means algorithm is one of the clustering algorithms that increase in popularity day by day. The intensive mathematical operations and the continuous increase of the data size while clustering on large data using the K-means algorithm prevent the algorithm from operating at high performance.
Cavuslu, Mehmet Ali +3 more
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Stochastic K-means algorithm for vector quantization
Pattern Recognition Letters, 2001Summary: The proposed stochastic \(K\)-means algorithm (SKA) associates a vector with a cluster according to a probability distribution, which depends on the distance between the vector and the cluster gravity centre. It is less dependent than the \(K\)-means algorithm (KMA) on the initial centre choice.
Kövesi, Balazs +2 more
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K-Means Algorithm: An Assessment
IMS Manthan (The Journal of Innovations), 2015In data mining, clustering is a technique in which the set of objects are assigned to a group called clusters. Clustering is the most essential part of data mining. K-means clustering is the basic clustering technique and is most widely used algorithm. It is also known as nearest neighbor searching.
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Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
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2009 International Conference on Computational Intelligence and Software Engineering, 2009
Hongjun Wang +3 more
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Hongjun Wang +3 more
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The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021Laith Mohammad Abualigah +2 more
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Spinal Extradural Metastasis: Review of Current Treatment Options
Ca-A Cancer Journal for Clinicians, 2008Ronald H M A Bartels +2 more
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Tumor-Node-Metastasis Staging of Pancreatic Adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2008Matthew H G Katz
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Slime mould algorithm: A new method for stochastic optimization
Future Generation Computer Systems, 2020Hui-Ling Chen +2 more
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