Zobrazeno 1 - 10
of 3 071
pro vyhledávání: '"Determining the number of clusters in a data set"'
Autor:
James Famelton, H. M. Gardner, Benjamin M. Jenkins, Paul A. J. Bagot, Michael P. Moody, Daniel Haley, Przemysław Klupś, Andrew J. London, Jonathan M. Hyde
Publikováno v:
Microscopy and Microanalysis. 28:1066-1075
One of the main capabilities of atom probe tomography (APT) is the ability to not only identify but also characterize early stages of precipitation at length scales that are not achievable by other techniques. One of the most popular methods to ident
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 27:1011-1022
Autonomous vehicles have been widely equipped with radars, camera, and LiDARs due to their complementary capabilities of environment perception. However, it becomes a critical task to accurately track the trajectory of the preceding vehicle when the
Autor:
Jiangyong Duan, Lili Guo
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:983-995
Subsequence clustering is an important issue in time series data mining. Observing that most time series consist of various patterns with different unknown lengths, we propose an optimization framework to adaptively estimate the lengths and represent
Autor:
Weslley Luiz da Silva Assis, Paulo Rangel Rios, Maisa Silva Fernandes, Felipe da Silva Siqueira, Diego Magalhães Baía, Nathan Fernandes Ignácio, Ana Gabriela Conceição dos Santos
Publikováno v:
Journal of Materials Research and Technology, Vol 15, Iss, Pp 777-784 (2021)
This work aims to study cluster nucleation, whose solid–solid phase transformation kinetics considerably deviates from that forecasted by the Kolmogorov–Johnson–Mehl–Avrami (KJMA) model. In this scenario, nuclei do not appear homogeneously wi
Autor:
Mahmudul Hasan, Meskat Jahan
Publikováno v:
Soft Computing. 25:14583-14596
In the big data era, clustering is one of the most popular data mining method. Most clustering algorithms have complications like automatic cluster number determination, poor clustering precision, inconsistent clustering of various datasets and param
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9294-9311 (2021)
Numerous limitations of Shot-based and Content-based key-frame extraction approaches have encouraged the development of Cluster-based algorithms. This paper proposes an Optimal Threshold and Maximum Weight (OTMW) clustering approach that allows accur
Publikováno v:
Interdisciplinary Sciences: Computational Life Sciences. 13:638-651
The development of Hi-C technology has generated terabytes of chromatin interaction data, which bring possibilities for insight study of chromatin structure. Several studies revealed that mammalian chromosomes are folded into topological associated d
Publikováno v:
The European Physical Journal Special Topics. 230:2857-2864
The mobile agents’ circular formation problem is driven by applications that require a desired spatial and temporal separation, such as data collection or satellite constellations. There are numerous strategies to assign the cluster number and spac
Publikováno v:
Climate Dynamics. 57:1733-1749
A thorough understanding of regional differences in change patterns of surface air temperature (SAT) at various spatial scales can help people cope well with global warming. In this study, a SAT change pattern recognition method was firstly establish
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 10, Iss 2, Pp 139-147 (2021)
Pandemi corona telah mengubah proses pembelajaran dari yang semula tatap muka secara langsung (offline) menjadi pembelajaran secara daring (online). Pembelajaran daring ini menyebabkan kesulitan dalam pemantauan perilaku siswa oleh guru karena berkur