Vahid Mirjalili
A Clustering Algorithm Based on Finding Density Peaks Python Implementation. A novel clustering algorithm is implemented in python, in which the cluster centers are identified as the relatively high density points in n-dimensional space where the minimum distance to density peaks is higher. Read more . A Gallery of Test Functions for Optimization. A gallery of test functions for optimization is provided in python-numpy, as well as their MATLAB and R implementations. Read more .
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The web page vahidmirjalili.com was registered on May 19, 2014. This website was last updated on May 18, 2014. This website will expire on the date of May 18, 2015. It is now five hundred and twenty-eight weeks, nineteen days, five hours, and fifty-two minutes old.
REGISTERED
May
2014
UPDATED
May
2014
EXPIRED
May
2015
WEBPAGE SPAN
10
YEARS
1
MONTHS
17
DAYS
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Vahid MirjaliliDESCRIPTION
A Clustering Algorithm Based on Finding Density Peaks Python Implementation. A novel clustering algorithm is implemented in python, in which the cluster centers are identified as the relatively high density points in n-dimensional space where the minimum distance to density peaks is higher. Read more . A Gallery of Test Functions for Optimization. A gallery of test functions for optimization is provided in python-numpy, as well as their MATLAB and R implementations. Read more .PARSED CONTENT
The web page vahidmirjalili.com states the following, "A Clustering Algorithm Based on Finding Density Peaks Python Implementation." I saw that the website stated " A novel clustering algorithm is implemented in python, in which the cluster centers are identified as the relatively high density points in n-dimensional space where the minimum distance to density peaks is higher." They also said " A Gallery of Test Functions for Optimization. A gallery of test functions for optimization is provided in python-numpy, as well as their MATLAB and R implementations."SEE SUBSEQUENT DOMAINS
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Vahid Moosavi Researcher in Design and Modeling Science
Researcher in Design and Modeling Science. Researcher in Design and Modeling Science. An Abstract view to Computational Urban Modeling and Big Data. The Death and Life of Great Urban Modeling Concepts. An Image of the Market. Data Driven Air Pollution Modeling. Grand Technologies for Grand Energy Challenges.
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