Results 11 to 20 of about 25,970,551 (304)
Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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Macrostate data clustering [PDF]
Physical Review E, 2003 We develop an effective nonhierarchical data clustering method using an analogy to the dynamic coarse graining of a stochastic system. Analyzing the eigensystem of an interitem transition matrix identifies fuzzy clusters corresponding to the metastable macroscopic states (macrostates) of a diffusive system.
Korenblum, Daniel, Shalloway, David
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Applied Sciences, 2022 Cities are considered complex and open environments with multidimensional aspects including urban forms, urban imagery, and urban energy performance.
Chenyi Cai, Mohamed Zaghloul, Biao Li
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Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design
Sensors, 2023 In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and capability in image generation and dimensionality reduction. The combination of VAE and various machine learning frameworks has also worked effectively in different ...
Hugo Wai Leung Mak +2 more
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K-RBBSO Algorithm: A Result-Based Stochastic Search Algorithm in Big Data
Applied Sciences, 2022 Clustering is widely used in client-facing businesses to categorize their customer base and deliver personalized services. This study proposes an algorithm to stochastically search for an optimum solution based on the outcomes of a data clustering ...
Sungjin Park, Sangkyun Kim
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Modern Business Data Analysis and Data Visualization: A Real-Time Fusion Study [PDF]
ITM Web of Conferences, 2023 In contemporary data science and analytics, data clustering is a small bucket that divides computation among various child nodes. The network’s capacity, specialized tools, and applications that cannot be trained quickly are among these methods ...
Priya J Suji +3 more
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Stochastic Data Clustering [PDF]
SIAM Journal on Matrix Analysis and Applications, 2012 In 1961 Herbert Simon and Albert Ando [Econometrika, 29 (1961), pp. 111--138] published the theory behind the long-term behavior of a dynamical system that can be described by a nearly uncoupled matrix. Over the past fifty years this theory has been used in a variety of contexts, including queueing theory, brain organization, and ecology.
Carl Dean Meyer, Charles D. Wessell
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Techniques for clustering gene expression data [PDF]
, 2008 Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Kerr, Gráinne +7 more
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R/BHC : fast Bayesian hierarchical clustering for microarray data [PDF]
, 2009 Background: Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained ...
Grant, Murray +32 more
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Journal of Classification, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarpey, Thaddeus, Kinateder, Kimberly
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