Results 31 to 40 of about 1,141,336 (343)
International Journal of Electrical and Computer Engineering (IJECE), 2019 A hard partition clustering algorithm assigns equally distant points to one of the clusters, where each datum has the probability to appear in simultaneous assignment to further clusters. The fuzzy cluster analysis assigns membership coefficients of data
K. Rajkumar +2 more
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Performance comparison of fuzzy and non-fuzzy classification methods
Egyptian Informatics Journal, 2016 In data clustering, partition based clustering algorithms are widely used clustering algorithms. Among various partition algorithms, fuzzy algorithms, Fuzzy c-Means (FCM), Gustafson–Kessel (GK) and non-fuzzy algorithm, k-means (KM) are most popular ...
B. Simhachalam, G. Ganesan
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F-transforms for the definition of contextual fuzzy partitions [PDF]
, 2019 Fuzzy partitions can be defined in many different ways, but usually, it is done taking into account the whole universe. In this paper, we present a method to define fuzzy partitions according to those elements in the universe holding certain fuzzy ...
B Bouchon +8 more
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Journal of Mathematical Analysis and Applications, 1986 This paper presents properties of classical or generalized partitions. First of all, fuzzy binary relations are defined on a finite set, satisfying an extension of the transitivity property and associated with a distance. Characterizations of such relations by matricial properties are given.
Bouchon, Bernadette, Cohen, Gérard
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Fuzzy Clustering Algorithm with Histogram Based Initialization for Remotely Sensed Imagery
Advances in Electrical and Electronic Engineering, 2020 The paper presents histogram-based initialzation of Fuzzy C Means (FCM) clustering algorithm for remote sensing image analysis. The drawback of well known FCM clustering is sensitive to the choice of initial cluster centers.
Deepa Sharma, Jyoti Singhai
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Electricity load profile classification using Fuzzy C-Means method [PDF]
, 2008 This paper presents the Fuzzy C-Means (FCM) clustering method. The FCM technique assigns a degree of membership for each data set to several clusters, thus offering the opportunity to deal with load profiles that could belong to more than one group at ...
Bradley, D. +3 more
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Fuzzy clustering with volume prototypes and adaptive cluster merging [PDF]
, 2002 Two extensions to the objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered.
Kaymak, U, Setnes, M
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Localization for Yang-Mills Theory on the Fuzzy Sphere
, 2007 We present a new model for Yang-Mills theory on the fuzzy sphere in which the configuration space of gauge fields is given by a coadjoint orbit. In the classical limit it reduces to ordinary Yang-Mills theory on the sphere.
B.E. Rusakov +40 more
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Assessment of Heart Disease using Fuzzy Classification Techniques
The Scientific World Journal, 2001 In this paper we discuss the classification results of cardiac patients of ischemical cardiopathy, valvular heart disease, and arterial hypertension, based on 19 characteristics (descriptors) including ECHO data, effort testings, and age and weight.
Horia F. Pop, Tudor L. Pop, Costel Sarbu
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Information, 2022 In this research, we propose a GIS-based framework implementing a fuzzy-based document classification method aimed at classifying urban areas by the type of criticality inherent or specific problems highlighted by citizens.
Barbara Cardone, Ferdinando Di Martino
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