Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used
method. Since the FCM memberships do not always explain the degrees of belonging for …

This study introduces a comparative study of implementation of clustering algorithms on
classification of the analog modulated communication signals. A number of key features are …

An approach to generate 3-D models of buildings from lidar data collected from an urban
setting is presented. The present research focuses on extracting roof structures from a point …

In this paper different clustering algorithms are used to identify Takagi–Sugeno models in a
data-driven manner. All but one of these clustering algorithms are based on the minimization …

In this paper, we propose a generalized fuzzy inference system (GFIS) in noise image
processing. The GFIS is a multi-layer neuro-fuzzy structure which combines both Mamdani …

In consideration of the difficulty in online measuring the component content in rare earth
extraction separation production process, the soft-sensor method based on the radial basis …

一种快速减法聚类算法-Approximate Clustering via the Quick Subtractive Clustering Method
返回主页 网站首页 期刊简介 编委会 期刊荣誉 作者指南 在线订阅 引用本文: 张栒,湛成伟,邓辉文 …

Web usage models and profiles capture significant interests and trends from past accesses.
They are used to improve user experience, say through recommendation of pages, pre …

This paper proposes a systematic method to classify data with outliers. The essential
techniques consist of the outlier detection and the fuzzy support vector machine (FSVM). In …