A clustering method of Gas load based on FCM-SMOTE

FCM Clustering Method Based Research on the Fluctuation Phenomenon in Power Network

In recent years, the research on fluctuation phenomenon in power network has received more and more attention. In this paper, the authors give an example in the 22-node system of Chinese Electric Power Research Institute to research the fluctuation phenomenon in cascading overload events. The results show that under the condition of random initial failures the flow state of power network has im...

A new ensemble clustering method based on fuzzy cmeans clustering while maintaining diversity in ensemble

An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...

A Hybrid Time Series Clustering Method Based on Fuzzy C-Means Algorithm: An Agreement Based Clustering Approach

In recent years, the advancement of information gathering technologies such as GPS and GSM networks have led to huge complex datasets such as time series and trajectories. As a result it is essential to use appropriate methods to analyze the produced large raw datasets. Extracting useful information from large data sets has always been one of the most important challenges in different sciences,...

Measuring the Diameter of Nanofibers Extracted from Polyblend Fibers Using FCM Clustering Method

A Spacecraft Electrical Characteristics Multi-Label Classification Method Based on Off-Line FCM Clustering and On-Line WPSVM

This paper proposes a novel multi-label classification method for resolving the spacecraft electrical characteristics problems which involve many unlabeled test data processing, high-dimensional features, long computing time and identification of slow rate. Firstly, both the fuzzy c-means (FCM) offline clustering and the principal component feature extraction algorithms are applied for the feat...