Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Safa Bettoumi"'
Autor:
Safa Bettoumi
Publikováno v:
2022 2nd International Conference on Computers and Automation (CompAuto).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::680a9f5b36581580c0bb86005b0bb75b
https://doi.org/10.1109/compauto55930.2022.00033
https://doi.org/10.1109/compauto55930.2022.00033
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319942100
ICISP
ICISP
In the last few years, multi-view clustering has arisen in a large variety of applications. Properly, the clustering performance is greatly improved by exploiting the rich information among the different views. To this end, we propose a new method wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e95dd9767deb5f512a26aaf0217c3b84
https://doi.org/10.1007/978-3-319-94211-7_24
https://doi.org/10.1007/978-3-319-94211-7_24
Publikováno v:
International Journal of Data Analysis Techniques and Strategies. 11:197
The purpose of clustering algorithms is to give sense and extract value from large sets of structured and unstructured data. Thus, clustering is present in all science areas that use automatic learning. Therefore, we present in this paper a comparati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64230b371321d504bdea8f3d8459642b
https://doi.org/10.1504/ijdats.2019.10022548
https://doi.org/10.1504/ijdats.2019.10022548
Publikováno v:
ATSIP
Data clustering analysis is the process of finding similarity between data that are assigned into homogeneous groups and the most heterogeneous as possible among groups. There are several analysis methods in wich K-means clustering algorithm is the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba3e4ee7d32e569e69d76b1c1b713286
https://doi.org/10.1109/atsip.2016.7523092
https://doi.org/10.1109/atsip.2016.7523092
Publikováno v:
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2019, Vol. 23 Issue 3, p937-945, 9p
Publikováno v:
2016 2nd International Conference on Advanced Technologies for Signal & Image Processing (ATSIP); 2016, p183-188, 6p
This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing backgro
This book constitutes the refereed proceedings of the 8th International Conference on Image and Signal Processing, ICISP 2018, held in Cherbourg, France, in July 2018. The 58 revised full papers were carefully reviewed and selected from 122 submiss