Modular ensembles for one-class classification based on density analysis
We propose a modular ensemble OCC algorithm DBM-EOC based on density analysis. We analyze peculiarities of the target class which are crucial for OCC. DBM-EOC obtains a tree structure of the target class considering density. DBM-EOC can automatically detect clusters and remove noise samples. DBM-EOC solves OCC problems with the divide-and-conquer method.
modular ensemble density analysis one-class classifier