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
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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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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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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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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
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Clustering Acoustic Segments Using Multi-Stage Agglomerative Hierarchical Clustering. [PDF]
PLoS ONE, 2015 Agglomerative hierarchical clustering becomes infeasible when applied to large datasets due to its O(N2) storage requirements. We present a multi-stage agglomerative hierarchical clustering (MAHC) approach aimed at large datasets of speech segments.
Lerato Lerato, Thomas Niesler
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Applied Sciences, 2021 With the frequent occurrence of network security events, the intrusion detection system will generate alarm and log records when monitoring the network environment in which a large number of log and alarm records are redundant, which brings great burden ...
Leiting Wang, Lize Gu, Yifan Tang
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Relation between financial market structure and the real economy: comparison between clustering methods. [PDF]
PLoS ONE, 2015 We quantify the amount of information filtered by different hierarchical clustering methods on correlations between stock returns comparing the clustering structure with the underlying industrial activity classification.
Nicoló Musmeci +2 more
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Multi-attribute Hierarchical Clustering for Product Family Division of Customized Wooden Doors
BioResources, 2023 To improve the production system for customized wooden doors and to gain research and development efficiency, this paper proposed the feasibility of using hierarchical clustering algorithms to cluster a company's customized wooden door products and its ...
Na Zhang, Wei Xu, Yong Tan
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