An uncertain data model construction method based on nonparametric estimation

Detecting Urban Functional Area Based on Clustering on Base Station Data

“…Their specific explainations can be found in [15]. The dataset described as Table 2 could reduce the uncertainties existing probably in the original statistical data, and this modelling method could ensure the high computational efficiency of model construction.…”

“…Therefore, in order to analyze the uncertain objects efficiently, firstly we use the method proposed in the previous research result [15] to build an uncertain data model, by which we can describe the distribution of the number of users covered by one base station in each time period. Then we propose an clustering method to aggregate data represented by the uncertain data model.The data model is constructed for each base station data after processing according to the method proposed in[15] is shown as equation(1).…”

A Similarity Between Uncertain Data Measurement Method Based on stochastic simulation

“…Firstly, based on the stochastic simulation method, random numbers are generated in definition domain, and the values of each random number on each probability density function are obtained to the set . If they are regarded as the samples, we can get its uncertain data model based on[11] for cluster . Therefore, the clusters consisting of uncertain data…”