Showing 1 - 3 of 3
KNN algorithm is a simple and efficient algorithm developed to solve classification problems. However, it encounters problems when classifying datasets with non-uniform density distributions. The existing KNN voting mechanism may lose essential information by considering majority only and get...
Persistent link: https://www.econbiz.de/10012042696
distance metrics were employed to represent noun co-occurrence in the notes. In comparing notes between the lecturer and … students, insufficient distance and additional distance are defined and measured for all participants during the course. In the …
Persistent link: https://www.econbiz.de/10012043994
issues, a parameter free AP (PFAP) is proposed to group big data on the basis of both distance and density. Firstly, it …
Persistent link: https://www.econbiz.de/10012044228