Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1007/s13278-021-00734-2 http://scihub22266oqcxt.onion/10.1007/s13278-021-00734-2 33717366!7943333!33717366     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Soc+Netw+Anal+Min 2021 ; 11 (1): 28 Nephropedia Template TP {{tp|p=33717366|t=2021. Community detection using unsupervised machine learning techniques on COVID-19 dataset |pdf=|usr=}}{{33717366}} gab.com Text Community detection using unsupervised machine learning techniques on COVID-19 dataset JO: Soc Netw Anal Min http://www.kidney.de/pget.php?&tw=1&pmid=33717366 #FOAvip COVID-19 has been considered to be the most destructive pandemic ever happened in the history of mankind. The worldwide research community has put a tenacious effort to carry out research on the COVID-19 to analyse its impact on economic, medical and sociolgoical fields. They are trying to solve many crucial issues related to this disease and derive strategies to deal with this global pandemic. In this paper, we have analysed the trend, countries affected regionally and the variation of cases at the country level on COVID-19 dataset. We have used the Principal component analysis on the COVID-19 dataset variables to reduce the dimensionality and find the most significant variables. Further, we have unveiled the hidden community structure of countries by applying the unsupervised clustering approach, K-means. We have compared the results with the K-means method. The communities achieved after applying the PCA are more precise. The resulted communities can be beneficial to researchers, scientists, sociologists, different policy makers and managers of health sector. Twit Text FOAVip Community detection using unsupervised machine learning techniques on COVID-19 dataset ????Soc Netw Anal Min http://www.kidney.de/pget.php?&tw=1&pmid=33717366 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33717366 #FOAvip English Wikipedia <ref>{{Cite pmid|33717366}}</ref> Community detection using unsupervised machine learning techniques on COVID-19 dataset #MMPMID33717366 Chaudhary L; Singh B Soc Netw Anal Min 2021[]; 11 (1): 28 PMID33717366show ga COVID-19 has been considered to be the most destructive pandemic ever happened in the history of mankind. The worldwide research community has put a tenacious effort to carry out research on the COVID-19 to analyse its impact on economic, medical and sociolgoical fields. They are trying to solve many crucial issues related to this disease and derive strategies to deal with this global pandemic. In this paper, we have analysed the trend, countries affected regionally and the variation of cases at the country level on COVID-19 dataset. We have used the Principal component analysis on the COVID-19 dataset variables to reduce the dimensionality and find the most significant variables. Further, we have unveiled the hidden community structure of countries by applying the unsupervised clustering approach, K-means. We have compared the results with the K-means method. The communities achieved after applying the PCA are more precise. The resulted communities can be beneficial to researchers, scientists, sociologists, different policy makers and managers of health sector. äCommunity detection using unsupervised machine learning techniques on (epmc).pdf DeepDyve Pubget Overpricing