klcluster: Center-based Clustering of Trajectories

Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from two ...

We study the problem of preclustering a set B of imprecise points in ${\mathbb{R}}^d$: we wish to cluster the regions specifying the potential locations of the points such that, no matter where the points are located within their regions, the resulting ...${}_{\mathrm{}}{}_{}$${\mathbb{}}^{}$${}_{}$${}_{}$$\mathcal{}$$$$\mathcal{}$${}_{}$$\mathcal{}$$$$$${\mathbb{}}^{\mathrm{}}$$\mathrm{}\mathrm{}$${\mathbb{}}^{\mathrm{}}$${\mathbb{}}^{}$$\mathrm{}$$\mathrm{}$$\mathrm{}$$\mathrm{}$

Classical clustering methods, such as partitioning and hierarchical clustering algorithms, often fail to deliver satisfactory results, given clusters of arbitrary shapes. Motivated by a clustering validity index based on inter-cluster and intra-cluster ...