Results 11 to 20 of about 3,381,889 (354)
Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? [PDF]
Journal of Classification, 2011 The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a 1963 publication. It has also been generalized in various ways.
F. Murtagh, P. Legendre
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Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products [PDF]
AUT Journal of Mathematics and Computing, 2020 The important approaches to statistical and fuzzy clustering are reviewed and compared, and their applications to an agricultural problem based on a real-world data are investigated.
Israa Atiyah, Seyed Mahmoud Taheri
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Neutrosophic Logic-based DIANA Clustering algorithm [PDF]
Neutrosophic Sets and Systems, 2023 On the one hand, the most extensively used Hierarchical Clustering techniques are the Hierarchical Divisive Clustering (HDC) algorithms such as DIANA. Its primary goal is to build the tree of Hierarchical Agglomerative Clustering (HAC) in reverse order ...
Azeddine Elhassouny
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Federated learning with hierarchical clustering of local updates to improve training on non-IID data [PDF]
IEEE International Joint Conference on Neural Network, 2020 Federated learning (FL) is a well established method for performing machine learning tasks over massively distributed data. However in settings where data is distributed in a non-iid (not independent and identically distributed) fashion - as is typical ...
Christopher Briggs +2 more
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A Gene Clustering Algorithm Based on the CCA-Hierarchical Clustering
Journal of Harbin University of Science and Technology, 2023 Aiming at the massive gene expression data brought by gene chip technology , in order to fully mine the biological information and potential biological mechanisms contained in it , this paper proposes a gene clustering algorithm based on CCA-
LIN Qianmin
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Neutrosophic Fuzzy Hierarchical Clustering for Dengue Analysis in Sri Lanka [PDF]
Neutrosophic Sets and Systems, 2020 In the structure of nature, we believe that there is an underlying knowledge in all the phenomena we wish to understand. Mainly in the area of epidemiology we often tend to seek the structure of the data obtained, pattern of the disease, nature or ...
Vandhana S, J Anuradha
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Complementary hierarchical clustering [PDF]
Biostatistics, 2007 When applying hierarchical clustering algorithms to cluster patient samples from microarray data, the clustering patterns generated by most algorithms tend to be dominated by groups of highly differentially expressed genes that have closely related expression patterns.
Gen, Nowak, Robert, Tibshirani
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Hierarchical Clustering with Contiguity Constraint in R
Journal of Statistical Software, 2022 This article presents a new implementation of hierarchical clustering for the R language that allows one to apply spatial or temporal contiguity constraints during the clustering process.
G. Guénard, P. Legendre
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Hierarchical kernel spectral clustering [PDF]
Neural Networks, 2012 Kernel spectral clustering fits in a constrained optimization framework where the primal problem is expressed in terms of high-dimensional feature maps and the dual problem is expressed in terms of kernel evaluations. An eigenvalue problem is solved at the training stage and projections onto the eigenvectors constitute the clustering model.
Alzate Perez, Carlos, Suykens, Johan
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A Universal Density Profile from Hierarchical Clustering [PDF]
, 1996 We use high-resolution N-body simulations to study the equilibrium density profiles of dark matter halos in hierarchically clustering universes. We find that all such profiles have the same shape, independent of the halo mass, the initial density ...
J. Navarro, C. Frenk, S. White
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