Sentence examples for using the fuzzy clustering from inspiring English sources

Finally, sentiment values from users in different time periods were selected as original data matrix, using the fuzzy clustering algorithm.

This paper presents a nonlinear model structure using the fuzzy clustering method and the adaptive fuzzy neural network inference system [14 17].

Next, emotional values of 50 users in 10 time periods are selected to make emotion classification analysis for micro-blog users by using the fuzzy clustering algorithm, and F testing method is used to calculate an optimal classification.

Then, the cluster algorithm was run 10 times to generate several clusters solutions that were next merged using the fuzzy clustering algorithm for a final robust cluster solution.

Since the distribution that each port follows is unknown initially, we use the fuzzy clustering EM algorithm to classify the port behaviors.

Using the fuzzy-clustering method, cities are first classified into two groups of deprived and fully developed.

Using the fuzzy mathematics clustering analysis method, the deep soft surrounding rock failure model in Zhujixi mine can be classified and patterns recognized.

With this tissue type, using the fuzzy logic clustering algorithm does not adequately distinguish microcalcifications.

This is done using the fuzzy c-means clustering method to allow the overlap of the source mechanisms.

Finally, the fat and oedema are quantified from the muscle region in the T1-weighted and T2-STIR magnetic resonance images, respectively, using the fuzzy c-mean clustering approach for 10 FSHD patients.

This paper first reviews different methods of designing thermal error models, before concentrating on employing an adaptive neuro fuzzy inference system (ANFIS) to design two thermal prediction models: ANFIS by dividing the data space into rectangular sub-spaces (ANFIS-Grid model) and ANFIS by using the fuzzy c-means clustering method (ANFIS-FCM model).