Results 1 to 10 of about 225,995 (267)
Information Theoretic Hierarchical Clustering [PDF]
Entropy, 2011 Hierarchical clustering has been extensively used in practice, where clusters can be assigned and analyzed simultaneously, especially when estimating the number of clusters is challenging.
Babak Nadjar Araabi +2 more
doaj +3 more sources
Survey on Hierarchical Clustering for Machine Learning [PDF]
Jisuanji kexue, 2023 Clustering analysis plays a key role in machine learning,data mining and biological DNA information.Clustering algorithms can be categorized into flat clustering and hierarchical clustering.Flat clustering mostly divides the data set into K parallel ...
WANG Shaojiang, LIU Jia, ZHENG Feng, PAN Yicheng
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Hierarchical clustering in astronomy
Astronomy and Computing, 2022 12 pages, 8 figures, accepted by Astronomy and ...
Heng Yu, Xiaolan Hou
openaire +2 more sources
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
doaj +1 more source
Journal of Classification, 2022 AbstractIn the cluster analysis literature, there are several partitioning (non-hierarchical) methods for clustering multivariate objects based on model estimation. Distinct to these methods is the use of a system of n nested statistical models and the optimization of a loss function to best-fit a clustering model to observed data.
Maurizio Vichi +2 more
openaire +2 more sources
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
doaj +1 more source
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering
CoRR, 2021 Recently, Hierarchical Clustering (HC) has been considered through the lens of optimization. In particular, two maximization objectives have been defined. Moseley and Wang defined the \emph{Revenue} objective to handle similarity information given by a weighted graph on the data points (w.l.o.g., $[0,1]$ weights), while Cohen-Addad et al.
Danny Vainstein +5 more
openaire +3 more sources
Analysis of whole-brain resting-state FMRI data using hierarchical clustering approach. [PDF]
PLoS ONE, 2013 BACKGROUND: Previous studies using hierarchical clustering approach to analyze resting-state fMRI data were limited to a few slices or regions-of-interest (ROIs) after substantial data reduction.
Yanlu Wang, Tie-Qiang Li
doaj +1 more source