Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daowan Peng"'
Publikováno v:
IEEE Transactions on Multimedia. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13cfd5a004532a63edee8591e7e023c9
https://doi.org/10.1109/tmm.2022.3190686
https://doi.org/10.1109/tmm.2022.3190686
Publikováno v:
ISEEIE
The k-means algorithm has been widely used in the last several decades, but the efficiency of Lloyd's k-means algorithm drops sharply in dealing with large-scale data scenarios. To solve this problem, this paper proposes a fast k-means algorithm base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3517ad0001c870aa7ef5c0242b94dc8
https://doi.org/10.1145/3459104.3459194
https://doi.org/10.1145/3459104.3459194
Autor:
Shuyin, Xia, Daowan, Peng, Deyu, Meng, Changqing, Zhang, Guoyin, Wang, Elisabeth, Giem, Wei, Wei, Zizhong, Chen
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(1)
This paper presents a novel accelerated exact k-means called as "Ball k-means" by using the ball to describe each cluster, which focus on reducing the point-centroid distance computation. The "Ball k-means" can exactly find its neighbor clusters for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::22e45f38b4774692ccbf589e2470229e
https://pubmed.ncbi.nlm.nih.gov/32750814
https://pubmed.ncbi.nlm.nih.gov/32750814
Autor:
Elisabeth Giem, Zizhong Chen, Changqing Zhang, Deyu Meng, Wei Wei, Shuyin Xia, Daowan Peng, Guoyin Wang
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-1
This paper presents a novel accelerated exact k-means called as "Ball k-means" by using the ball to describe each cluster, which focus on reducing the point-centroid distance computation. It can exactly find its neighbor clusters for each cluster, re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca19f2260b224e6ad995e2740523d22a
https://doi.org/10.1109/tpami.2020.3008694
https://doi.org/10.1109/tpami.2020.3008694