Results 31 to 40 of about 225,995 (267)
ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. [PDF]
PLoS Computational Biology, 2017 The rapid development of sequencing technology has led to an explosive accumulation of genomic sequence data. Clustering is often the first step to perform in sequence analysis, and hierarchical clustering is one of the most commonly used approaches for ...
Yunpeng Cai +6 more
doaj +1 more source
genieclust: Fast and robust hierarchical clustering
SoftwareX, 2021 genieclust is an open source Python and R package that implements the hierarchical clustering algorithm called Genie. This method frequently outperforms other state-of-the-art approaches in terms of clustering quality and speed, supports various ...
Marek Gagolewski
doaj +1 more source
BarekengCluster analysis is a method of grouping data into certain groups based on similar characteristics. This research aims to group districts/cities in East Java Province in 2021 based on HIV cases using hierarchical cluster analysis (AGNES), non ...
Dwi Ayu Lusia +3 more
doaj +1 more source
Covariance matrix filtering with bootstrapped hierarchies.
PLoS ONE, 2021 Cleaning covariance matrices is a highly non-trivial problem, yet of central importance in the statistical inference of dependence between objects. We propose here a probabilistic hierarchical clustering method, named Bootstrapped Average Hierarchical ...
Christian Bongiorno, Damien Challet
doaj +1 more source
Scalable adaptive hierarchical clustering [PDF]
IEEE Communications Letters, 2002 We propose a new application-level clustering algorithm capable of building an overlay spanning tree among participants of large multicast sessions, without any specific help from the network routers. This algorithm is based on a unique definition of zones around nodes and an innovative adaptive cluster size distribution.
MATHY L. +3 more
openaire +4 more sources
Divisive hierarchical maximum likelihood clustering
BMC Bioinformatics, 2017 Background Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a daily basis, the design and development of efficient and accurate statistical methods has become
Alok Sharma +2 more
doaj +1 more source
Hierarchical clustering of asymmetric networks [PDF]
Advances in Data Analysis and Classification, 2017 arXiv admin note: substantial text overlap with arXiv:1301 ...
Gunnar E. Carlsson +3 more
openaire +4 more sources
Semantic Clustering of Functional Requirements Using Agglomerative Hierarchical Clustering
Information, 2018 Software applications have become a fundamental part in the daily work of modern society as they meet different needs of users in different domains.
Hamzeh Eyal Salman +3 more
doaj +1 more source
HIERARCHICAL CLUSTERING AND THE BAO SIGNATURE [PDF]
The Thirteenth Marcel Grossmann Meeting, 2015 3 pages, 1 figure, Proceedings of the 13th Marcel Grossman Meeting on General Relativity (Stockholm, Sweden, July 1 - 7, 2012), invited talk at the Parallel Session OC4 "New developments in the study of the large scale structure of the Universe"
Hellwing, Wojciech A. +3 more
openaire +3 more sources
Adaptive hierarchical clustering for hyperspectral image classification: Umbrella Clustering
Journal of Spectral Imaging, 2019 Hyperspectral Imaging (HSI) utilises the reflectance information of a large number of contiguous spectral bands to solve various problems. However, the relative proximity of spectral signatures among classes can be exploited to generate an adaptive ...
S.S.P. Vithana +7 more
doaj +1 more source