Results 251 to 260 of about 112,252 (298)

Evolutionary fuzzy c-means clustering algorithm

Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002
In this paper, a new approach to fuzzy clustering is introduced. This approach, which is based on the application of an evolutionary strategy to the fuzzy c-means clustering algorithm, utilizes the relationship between the various definitions of distance and structures implied in each given data set.
null Bo Yuan, G.J. Klir, J.F. Swan-Stone
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Fuzzy c-means for Fuzzy Hierarchical Clustering

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005
This paper describes an algorithm for building fuzzy hierarchies. These are hierarchies where the elements can have fuzzy membership to the nodes. The paper presents an approach that mainly follows a bottom-up strategy, and describes the functions needed to operate with fuzzy variables.
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Cluster Validity for the Fuzzy c-Means Clustering Algorithrm

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
The uniform data function is a function which assigns to the output of the fuzzy c-means (Fc-M) or fuzzy isodata algorithm a number which measures the quality or validity of the clustering produced by the algorithm. For the preselected number of cluster c, the Fc-M algorithm produces c vectors in the space in which the data lie, called cluster centers,
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Ensemble clustering via Fuzzy c-Means

2017 International Conference on Service Systems and Service Management, 2017
Ensemble clustering is to fuse several basic partitions to find a single best cluster structure of data. With the prevalence of heterogeneous data rising from various application domains, ensemble clustering has become a state-of-the-art solution for cluster analysis due to its robustness and generalizability.
null Xin Wan, null Hao Lin, null Hong Li, null Guannan Liu, null Maobo An   +4 more
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Fuzzy C-Means and Fuzzy TLBO for Fuzzy Clustering

2015
The choice of initial center plays a great role in achieving optimal clustering results in all partitional clustering approaches. Fuzzy C-means is a widely used approach but it also gets trapped in local optima values due to sensitiveness to initial cluster centers.
P. Gopala Krishna, D. Lalitha Bhaskari
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A weighted fuzzy c-means clustering model for fuzzy data

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D'URSO, Pierpaolo, GIORDANI, Paolo
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Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009
The fuzziness index m has important influence on the clustering result of fuzzy clustering algorithms, and it should not be forced to fix at the usual value m = 2. In view of its distinctive features in applications and its limitation in having m = 2 only, a recent advance of fuzzy clustering called fuzzy c-means clustering with improved fuzzy ...
Lin, Zhu, Fu-Lai, Chung, Shitong, Wang
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Shadowed c-means: Integrating fuzzy and rough clustering

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mitra, Sushmita, Pedrycz, Witold, Barman, Bishal   +2 more
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Median fuzzy c-means for clustering dissimilarity data

Neurocomputing, 2010
Median clustering is a powerful methodology for prototype based clustering of similarity/dissimilarity data. In this contribution we combine the median c-means algorithm with the fuzzy c-means approach, which is only applicable for vectorial (metric) data in its original variant.
Geweniger, T., Zülke, D., Hammer, Barbara, Villmann, T.   +3 more
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Fuzzy C-means Clustering Algorithm for Cluster Membership Determination

International Journal of Advanced Engineering and Business Sciences, 2020
Membership of open star clusters or Galactic open clusters is very important roles to study the formation and evaluation of gravitationally bound system. In the field of an image, the relative x and y coordinate positions of each star with respect to all the other stars are adapted. Therefore, in this paper, a new method for the determination open star
I. Selim, Mohamed Abd El Aziz
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