… the dataset multiple times to determine the stability of a … Furthermore, many clustering
methods rely on model … This dataset can be understood as an object by variable dataset in two …

… , and stability and found the optimal score to know the feasible … data sets that contain many
attributes. As a result, the vast … Arbitrary-shaped cluster: Many clustering algorithms suffer in …

… many cluster validity index from different angles. According to the availability of external
information of datasets, … , the balance between algorithm stability and index stability will be an …

… true” clustering for a given data set, and that the aim of cluster … , of objects in each cluster that
are closest to another cluster. … to measure stability. There they were proposed for estimating …

… methods used to identify the correct cluster number in the dataset [19… optimal cluster number
depending on the cluster stability. … Meanwhile, the similarity between different data objects is …

… stability of FSAs in twelve homogeneous datasets in relation to the sensor array optimization
problem. In this study, the stability … compared across twelve homogeneous datasets. These …

… We observe that trajectory datasets have large numbers of … is related to the order in which
objects are visited in dataset. … The number of clusters becomes stable for larger values of …

… , where pieces/elements connected together are perceived as part of the same object. …
presented a study of the stability, robustness, and performance of selected unsupervised DR …

… It seeks to explore results of high stability … b clusters, respectively are two clusterings on
dataset D with n samples; n i j stands for the number of common objects in cluster c i in clustering …

… For all object descriptions zv ∈ Z we determine the closest of all etalon centers {bj(Ei)}
according … The integrated application of the descriptions provides stable sets of segment centers. …