Results 71 to 80 of about 867,994 (193)
Cluster-Centered Visualization Techniques for Fuzzy Clustering Results to Judge Single Clusters
Applied SciencesFuzzy clustering, as a powerful method for pattern recognition and data analysis, often produces complex results that require careful examination of individual clusters.
Kai Vahldiek, Frank Klawonn
doaj +1 more source
Fuzzy clustering of fuzzy ecological data
Ecological Informatics, 2007 Abstract Besides the problem of searching for effective methods for data analysis there are some additional problems with handling data of high uncertainty. Uncertainty problems often arise in an analysis of ecological data, e.g. in the cluster analysis of ecological data.
openaire +2 more sources
Global Optimization strategies for two-mode clustering [PDF]
Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W. +3 more
core
Bilateral Weighted Fuzzy C-Means Clustering
Iranian Journal of Electrical and Electronic Engineering, 2012 Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise.
A. H. Hadjahmadi +2 more
doaj
Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
, 2008 A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core +2 more sources
Fuzzy Clustering Using the Convex Hull as Geometrical Model
Advances in Fuzzy Systems, 2015 A new approach to fuzzy clustering is proposed in this paper. It aims to relax some constraints imposed by known algorithms using a generalized geometrical model for clusters that is based on the convex hull computation.
Luca Liparulo +2 more
doaj +1 more source
Performance characterization of clustering algorithms for colour image segmentation [PDF]
, 2006 This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy C-Means clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation ...
Ilea, Dana E. +2 more
core +2 more sources
Modelling Method Based on Objective Satisfactory Clustering for pH Neutralization Process [PDF]
Jisuanji gongcheng, 2018 For some manufacturing exists complex industrial processes with severe nonlinearity,named pH neutralization process,a new process T-S fuzzy modelling method via objective clustering idea,combined with Gustafson-Kessel(GK) clustering,is proposed.According
WANG Na,HU Chaofang,SHI Wuxi
doaj
A Fuzzy Clustering Approach to Identify Pedestrians' Traffic Behavior Patterns. [PDF]
J Res Health Sci, 2023 Saeipour P +3 more
europepmc +1 more source
SISTEM IDENTIFIKASI KONDISI UDARA MEMANFAATKAN UAV HELIKOPTER BERBASIS FUZZY C- MEANS CLUSTERING [PDF]
, 2011 Kini kita merasakan musim yang sudah tidak jelas, iklim yang berubah-ubah dengan kondisi cuaca yang tidak menentu. Mungkin hal tersebut salah satunya disebabkan telah tercemarnya udara.
Bima Sena Bayu, Bima +2 more
core