2021
DOI: 10.3390/electronics10192417
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K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

Abstract: The demand of delivering various services is driving inter-data centers optical interconnection towards 400 G/800 G, which calls for increasing capacity and spectrum efficiency. The aim of this study is to effectively increase capacity while also improving nonlinear noise anti-interference. Hence, this paper presents a state-of-the-art scheme that applies the K-means cluster algorithm in geometric shaping based on iterative polar modulation (IPM). A coherent optical communication simulation system was establis… Show more

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Cited by 1 publication
(2 citation statements)
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“…When the number of clusters k is chosen, the iterative distance-based k-means clustering algorithm [22][23][24][25] minimizes the total squared distance (D) from all points to their cluster centers:…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…When the number of clusters k is chosen, the iterative distance-based k-means clustering algorithm [22][23][24][25] minimizes the total squared distance (D) from all points to their cluster centers:…”
Section: Related Workmentioning
confidence: 99%
“…When offline, the unsupervised clustering techniques are utilized as a tool to classify a tapestry of sentences into groups (called "clusters"). When online, in the event that a specific input sentence does not belong to one of the templates, the k-means clustering algorithm [22][23][24][25] should recommend a template that closely resembles the syntax of the input sentence. The validation process in our framework focuses on the syntactic correctness of the statements, which relates to the order of morphemes.…”
Section: Design Of Automated Checker Using Unsupervised Clustering Te...mentioning
confidence: 99%