… ) variable-scale clustering (VSC) method, we propose variable-scale clustering algorithm
based on the … Finally, a dynamic adjustment algorithm of inventory classification based on the …

… the proposed method could improve clustering performance … already proposed the
variable-scale clustering algorithm (VSC) … combining the duplicate value clustering method, in …

… Then, a scale level discovery method based on the variable-scale clustering (SLD-VSC)
is proposed. After determining management objectives, the SLD-VSC is able to recognize …

… Experiments in this section aim to verify the accuracy and efficiency of the proposed two-stage
variable-scale clustering method (Two-stage-VSC) in the brand story marketing scenarios …

… Although Wang and Gao (2021b) propose a variable-scale dynamic clustering method that
is capable of describing the timeliness characteristics of time-related observation scales (like …

… The method is shown to cater for linear and/or nonlinear within- and cross-channel correlations
as well as for complex dynamical couplings and various degrees of synchronization over …

… The novelty of our research in improving the classic variable-scale data analysis method
mainly exists in two aspects. On the one hand, in order to reflect the participation willingness of …

… K-means algorithm. By incorporating the MSM-FF, the K-means clustering algorithm enables
… The distance between each sample in the dataset and the cluster center is computed by …

… (F + G + C) variable-scale model is used for visual output. The … methods, the proposed
variable-scale visualization method in … Variable-scale visualization can be applied to unstructured …

… To effectively address the challenges posed by variable-scale dynamic object masks, we
integrate the updated Transformer block with mask attention and gated trident block into LSI-Net…