scholarly journals initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering

2020 ◽  
pp. 114149
Author(s):  
Amir Ahmad ◽  
Shehroz S. Khan
2018 ◽  
Vol 335 ◽  
pp. 264-277 ◽  
Author(s):  
Xingwang Zhao ◽  
Fuyuan Cao ◽  
Jiye Liang

2012 ◽  
Vol 17 (4) ◽  
pp. 45-50
Author(s):  
Zbigniew Bubliński ◽  
Piotr Pawlik

Abstract The paper presents the modification of background generation algorithm based on analysis of the frequency of occurrences of pixels. The proposed solution allows the generation of the background and its updating, the introduced parameter allows to adjust the algorithm according to the time rate of changes in the image. The results show that the modified method can be applied in many tasks related to the detection and analysis of moving objects.


2020 ◽  
Author(s):  
Jeffrey Mendenhall ◽  
Benjamin Brown ◽  
Sandeepkumar Kothiwale ◽  
Jens Meiler

<div>This paper describes recent improvements made to the BCL::Conf rotamer generation algorithm and comparison of its performance against other freely available and commercial conformer generation software. We demonstrate that BCL::Conf, with the use of rotamers derived from the COD, more effectively recovers crystallographic ligand-binding conformations seen in the PDB than other commercial and freely available software. BCL::Conf is now distributed with the COD-derived rotamer library, free for academic use. The BCL can be downloaded at <a href="http://meilerlab.org/index.php/bclcommons/show/b_apps_id/1">http://meilerlab.org/ bclcommons</a> for Windows, Linux, or Apple operating systems.<br></div>


2018 ◽  
Vol 9 (12) ◽  
pp. 1847-1850
Author(s):  
LathaV LathaV ◽  
P Rajalakshmi
Keyword(s):  

2008 ◽  
Author(s):  
Michelle T. Armesto ◽  
Ruben Hernandez-Murillo ◽  
Michael Owyang ◽  
Jeremy M. Piger

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