KAGO: an approximate adaptive grid-based outlier detection approach using kernel density estimate
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-00998-6
Abstract: Outlier detection approaches show their efficacy while extracting unforeseen knowledge in domains such as intrusion detection, e-commerce, and fraudulent transactions. A prominent method like the K-Nearest Neighbor (KNN)-based outlier detection (KNNOD) technique relies on distance… read more here.
Keywords: detection; based outlier; approximate adaptive; density ... See more keywords
MODELING LONG-TERM HUMAN POPULATION DYNAMICS USING KERNEL DENSITY ANALYSIS OF 14C DATA IN THE ATACAMA DESERT (18º–21ºS)
Sign Up to like & getrecommendations! Published in 2023 at "Radiocarbon"
DOI: 10.1017/rdc.2023.27
Abstract: Food production is one of the most significant achievements in Andean history. The domestication of plants and animals presented an enormous challenge, relating to changing technologies, settlement patterns, and social organization. This paper aims to… read more here.
Keywords: using kernel; population dynamics; population; kernel density ... See more keywords
Clustering using kernel entropy principal component analysis and variable kernel estimator
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i3.pp2109-2119
Abstract: Clustering as unsupervised learning method is the mission of dividing data objects into clusters with common characteristics. In the present paper, we introduce an enhanced technique of the existing EPCA data transformation method. Incorporating the… read more here.
Keywords: kernel entropy; entropy; using kernel; entropy principal ... See more keywords