润色包括将所有的core换成kernelA cluster divided by the DBSCAN algorithm contains one or more core objects When there is only one core object in a cluster the samples of other non-core objects in the cluster are

In the DBSCAN algorithm, a cluster is comprised of one or more core objects. If a cluster contains only one core object, then the non-core objects in the cluster are considered to be in the B neighborhood of the core object. However, if there are multiple core objects in a cluster, then each core object must have at least one other core object in its B neighborhood in order to ensure that the density between the two core objects can be reached. The collection of all samples in the B neighborhood of these core objects forms a cluster. To clarify, the term "core" is often replaced with "kernel" in some literature