MK Gupta, P Chandra - 2019 6th international conference on …, 2019 - ieeexplore.ieee.org
In present era, data analysis plays vital role in various domains. Data clustering is a data analysis technique used for grouping of data objects based on unsupervised learning. Many …
M Zhao, J Liu - Expert Systems with Applications, 2021 - Elsevier
Clustering has been applied in machine learning, data mining and so on, and has received extensive attention. However, since some data has noise or outliers, these noise or outliers …
H Lei, J Liu, Y Yu - International Journal of Computer Mathematics, 2023 - Taylor & Francis
Recommender system is one of the most effective tools to solve the problem of information overload. As a popular method for recommendation system, regularized singular value …
M Zhao, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Clustering, which is a commonly used tool, has been applied in machine learning, data mining and so on, and has received extensive research. However, there are usually noise …
J Liu, L Wang, J Liu - Big Data Mining and Analytics, 2019 - ieeexplore.ieee.org
Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks. Unlike approaches …
Today, digital data is accumulated at a faster than ever speed in science, engineering, biomedicine, and real-world sensing. Data mining provides us an effective way for the …