We propose the first clustering algorithm that employs an adaptive distributional kernel without any optimization, while achieving a similar optimization objective function.
It formally defines a new kind of clusters and proposes a new method called DC-HDP to overcome these weaknesses to identify clusters with arbitrary shapes and varied densities. .
The experimental results show that the latest isolation‐based anomaly detectors, iForest and iNNE, have outstanding performance on this task and have promising applicability as efficient methods for guaranteeing the lead‐acid battery quality and reliability in civil aviation aircraft.
The theory of Markowitz portfolio has had enormous value and extensive applications in finance since it came into being. A Markowitz model (MM) is taken into consideration for outsourcing to a public cloud in a privacy-conscious way.