The Denclue Algorithm employs a Cluster Model Based On Kernel Density Estimation. A Cluster is defined by a local maximum of the estimated density function. Data points are assigned to clusters by hill climbing, i.e. points going to the same local maximum are put into the same cluster.
machine-learning python3 hill-climbing unsupervised-learning denclue denclue-clustering denclue-algorithm
-
Updated
Jan 19, 2022 - Jupyter Notebook