The computer desktop image compression based on clustering algorithm-Reference-Cited by-同舟云学术

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The computer desktop image compression based on clustering algorithm

Published:2020-06-13 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Gui Dawei¹^ORCID

Affiliation:

1. Institute of Information and Intelligent TechnologyShanxi Business College Xian China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5892

Reference29 articles.

1. Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach

2. An efficient algorithm for compression of motion capture signal using multidimensional quadratic Bézier curve break-and-fit method

3. Enhancing fractal image compression speed using local features for reducing search space;Jaferzadeh K;Pattern Anal Appl,2016

4. Image segmentation based on the hybrid total variation model and the K-means clustering strategy

5. Clustering-based compression connected to cloud databases in telemedicine and long-term care applications

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