As an essential data processing technology, cluster analysis has been widely used in various fields. In clustering, it is necessary to select appropriate measures evaluate the similarity data. this paper, firstly, a center selection method based on grey relational degree proposed solve problem of sensitivity initial selection. Secondly, combining advantages Euclidean distance, DTW and SPDTW wei...

The data distribution of the multidimensional array sensor is unbalanced in sample collection. To improve clustering ability samples, a density method sparse scattered points and multisensor samples based on analysis characteristics proposed. network’s collection structure created using Voronoi polygon topology. By analyzing parameters between classes reconstructing characteristic space sequenc...

Lung cancer is one of the most dangerous diseases that cause a large number of deaths. Early detection and analysis can be very helpful for successful treatment. Image segmentation plays a key role in the early detection and diagnosis of lung cancer. K-means algorithm and classic PSO clustering are the most common methods for segmentation that have poor outputs. In t...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...

this paper considers the multi-depot vehicle routing problem with time window in which each vehicle starts from a depot and there is no need to return to its primary depot after serving customers. the mathematical model which is developed by new approach aims to minimizing the transportation cost including the travelled distance, the latest and the earliest arrival time penalties. furthermore, ...