Results 1 to 10 of about 55,867 (209)
Evidential Communities for Complex Networks [PDF]
, 2014 Community detection is of great importance for understand-ing graph structure in social networks. The communities in real-world networks are often overlapped, i.e. some nodes may be a member of multiple clusters.
G. Palla +9 more
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Community Partition Algorithm Based on Fuzzy Clustering [PDF]
Jisuanji gongcheng, 2016 At present,most of the community partition algorithms divide the network into several independent associations.But for some real networks,the communities are not independent of each other.There is a common node among some communities,and most of the ...
SONG Li,XIE Gang,YANG Yunyun
doaj +1 more source
Quadrature Rules for the Fm-Transform Polynomial Components
Axioms, 2022 The purpose of this paper is to reduce the complexity of computing the components of the integral Fm-transform, m≥0, whose analytic expressions include definite integrals.
Irina Perfilieva, Tam Pham, Petr Ferbas
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Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots [PDF]
, 2015 Mandow, A; Cantador, T.J.; Reina, A.J.; Martínez, J.L.; Morales, J.; García-Cerezo, A. "Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots," Robot2015: Second Iberian Robotics Conference, Advances in Robotics, (2016)
A Birk +15 more
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Fuzzy Partition Optimization for Approximate Fuzzy Q-iteration [PDF]
IFAC Proceedings Volumes, 2008 Abstract Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. Because exact RL can only be applied to very simple problems, approximate algorithms are usually necessary in practice. Many algorithms for approximate RL rely on basis-function representations of the value function (or of the Q-function).
Busoniu, Lucian +3 more
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Применение методов кластеризации для диагностики болезни Альцгеймера на основе ПЕТ-изображений [PDF]
, 2016 Робота присвячена використанню методів кластеризації в системах нечіткого виводу для класифікації ПЕТ-зображень з метою діагностики хвороби Альцгеймера. Оцінені характеристики кожного з трьох представлених кластеризаційних методів: Subtractive Clustering,
Gorriz, Huan Manuel +11 more
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JOURNAL OF RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES, 2022 In this paper, we define LGc-fuzzy Euclidean topological space with countable basis, which L denotes a complete distributive lattice and we show that each LGc-fuzzy open covering of this space can be refined to an LGc-fuzzy open covering that is locally finite.
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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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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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