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Cosine Distance Method

Known as: Cosine Distance, Cosine Similarity 
A type of pearson measure, which considers the relative differences (e.g. A*B/Abs[A]*Abs[B]) assuming that the scale is uniform (that the distance… 
National Institutes of Health

Papers overview

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2019
2019
Multivariate curve resolution (MCR) has been widely utilized to reveal the constituents of chemicals from multiple spectral data… 
2017
2017
These days being sarcastic on social site is common for everyone. Sarcasm is used to say something which is opposite of original… 
2016
2016
Congressional enactments and executive orders instruct agencies to publish their anticipated rules in what is known as the… 
2016
2016
Recently, as clustering problem can be mapped to optimization problem, evolutionary optimization techniques have been used by… 
2015
2015
Cloud service selection can be a complex and challenging task for a cloud engineer. Most current approaches try to identify a… 
2014
2014
Traditional k-means algorithm has been used successfully to various problems but its application is restricted to small datasets… 
2012
2012
Similarity measurement is one of the most important stages in the process of cancer discovery from gene expression data… 
2008
2008
  • Yang Cheng
  • 2008
  • Corpus ID: 11945044
Document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large amounts… 
Highly Cited
2005
Highly Cited
2005
Hermite-cosine-Gaussian (HcosG) laser beams are studied. The source plane intensity of the HcosG beam is introduced and its… 
2004
2004
We propose an easy and efficient way to analytically design densely dispersion-managed fiber systems for ultrafast optical…