Zobrazeno 1 - 10
of 94 832
pro vyhledávání: '"K-Means Algorithm"'
Autor:
Chen, Zhilong1 (AUTHOR) chenzhilong@zjou.edu.cn, Wang, Renyi1 (AUTHOR) wry25671@163.com, Xu, Biao1 (AUTHOR), Zhu, Jianghang1 (AUTHOR)
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 22, p5771. 12p.
Autor:
Xikang Wang1 2021710547@yangtzeu.edu.cn, Tongxi Wang2 txwang@yangtzeu.edu.cn, Hua Xiang3 xianghua@yangtzeu.edu.cn, Lan Huang4 lanhuang@yangtzeu.edu.cn
Publikováno v:
Engineering Letters. Aug2024, Vol. 32 Issue 8, p1632-1643. 12p.
Publikováno v:
Computer Science, 2023, 50(02), 138-145
Multiple kernel learning (MKL) aims to find an optimal, consistent kernel function. In the hierarchical multiple kernel clustering (HMKC) algorithm, sample features are extracted layer by layer from a high-dimensional space to maximize the retention
Externí odkaz:
http://arxiv.org/abs/2410.20391
Autor:
Feng, Yongan1 (AUTHOR) fengyongan@lntu.edu.cn, Zou, Jiapeng1 (AUTHOR), Liu, Wanjun1 (AUTHOR), Lv, Fu1 (AUTHOR)
Publikováno v:
PLoS ONE. 12/23/2024, Vol. 19 Issue 12, p1-21. 21p.
Financial market risk forecasting involves applying mathematical models, historical data analysis and statistical methods to estimate the impact of future market movements on investments. This process is crucial for investors to develop strategies, f
Externí odkaz:
http://arxiv.org/abs/2405.13076
Publikováno v:
Journal of Xi'an Polytechnic University. 2024, Vol. 38 Issue 6, p114-123. 10p.
Autor:
Srivastava, Ashish, Nawfal, Mohammed
The K-Means clustering using LLoyd's algorithm is an iterative approach to partition the given dataset into K different clusters. The algorithm assigns each point to the cluster based on the following objective function \[\ \min \Sigma_{i=1}^{n}||x_i
Externí odkaz:
http://arxiv.org/abs/2405.12052
Autor:
Ruobing Wu
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200143- (2024)
In the fierce competition of the electricity market, how to consolidate and develop customers is particularly important. Aiming to analyze the electricity consumption characteristics of customer groups, this paper used a k-means algorithm and optimiz
Externí odkaz:
https://doaj.org/article/26f265d73be84485b3e3dab9d101b118