… “What is a cluster?”, we introduce a novel cluster tracking mechanism which is based on the
… tracking of cluster centroids in the multidimensional parameter domain, starting from cluster …

… , the tracking process that is … tracking algorithm is analyzed in Section II, where its parameters
are defined, the mathematical formulation of the fuzzy C-means (FCM) clustering algorithm …

… , they tend to have high values of degrees of membership to that cluster. The cluster algorithm
being proposed in this paper belongs to this class of cluster techniques. It is founded on …

… At the identification stage, the convective clusters in each satellite snapshot are captured and
… However, the multi-threshold identification method tends to produce smaller clusters than …

… Obviously, both approaches quantify, at different scales, how well the cell tracking algorithms
are … a novel cell tracking accuracy measure that penalizes for all possible errors in tracking …

… “What is a cluster?”, we introduce a novel cluster tracking mechanism which is based on the
… cluster estimates obtained by a recently introduced framework which automatically clusters …

… centroids, and the well-known KPowerMeans algorithm for cluster … The results from our joint
clustering-and-tracking algorithm … presented a novel joint clustering-and-tracking algorithm in …

… the accelerated density clustering algorithm, we can obtain the cluster center point
representing the maximum likelihood velocity of the main subsurface structures. However, these …

… two-stage fusion algorithm based on cluster structure for a better … , a novel distributed
adaptive filtering method based on dynamic cluster is presented in this paper for target tracking …

… This paper describes the GPS system, including an overview of the ice motion tracking
algorithm, … Regions are formed by the automatic clustering of the image attributes. Clustering is …