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About 10,000 papers for “Dendrogram”

Similarity dendrogram.

Valerie Obsomer (114720), Pierre Defourny (114722), Marc Coosemans (85164) · Figshare · 2015

<p>Similarity dendrogram based on Ward clustering method and modified Hellinger distance.</p>

Cited by 0Open access

Ordered Dendrogram

Dimitar L. V, Yanka G. Tsvetanova · 2011

The standard output of the hierarhical cluster methods is a tree-like diagram (dendrogram). The idea of the presented algorithm is to rearrange dendrograms obtained by the usual clustering methods in order to improve the visual representation of the relationships between observed objects. Each cluster is considered as an ordered sequence of objects (chain) with its left and right ends. At each step the two nearest chains are connected in their nearest ends. There are presented some examples and obtained dendrograms are compared. 1

Cited by 0

Cluster dendrogram.

Mariano J. Tapia (15187724), Ezequiel E. Farrell (15187727), Lilia R. Mautino (15187730) et al. · Figshare · 2023

<p>Hierarchical clustering showing the similarities among the spore-pollen records from the Casa Grande 1 sequence (this study) and those previously published from other nearby Paleogene sites based on presence/absence data (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0277389#pone.0277389.s003" target="_blank">S2 Table</a>). The number of samples and morphotypes of each site is given in Materials and Methods. The heterogeneity of either the fossil record and the sampling effort may influence the outcome of the hierarchical clustering, hence results should be interpreted accordingly.</p>

Cited by 0Open access

Clusters dendrogram.

Orly Carvache-Franco (13924277), Mauricio Carvache-Franco (13924280), Wilmer Carvache-Franco (13924283) et al. · Figshare · 2023

<div><p>This study examines the comments posted on tourism-related YouTube videos during the Covid-19 pandemic to establish sustainable development strategies in destinations. Its objectives were: (i) to identify the topics of discussion, (ii) to establish the perceptions of tourism in a pandemic crisis, and (iii) to identify the destinations mentioned. The data was collected between January and May 2020. 39,225 comments were extracted in different languages and globally through the YouTube API. The data processing was carried out using the word association technique. The results show that the most discussed topics were: “people,” “country,” “tourist,” “place,” “tourism,” “see,” “visit,” “travel,” “covid-19,” “life,” and “live,” which are the focus of the comments made on the perceptions found and represent the attraction factors shown by the videos and the emotions perceived in the comments. The findings show that users’ perceptions are related to risks since the “Covid-19” pandemic is associated with the impact on tourism, people, destinations, and affected countries. The destinations in the comments were: India, Nepal, China, Kerala, France, Thailand, and Europe. The research has theoretical implications concerning tourists’ perceptions of destinations since new perceptions associated with destinations during the pandemic are shown. Such concerns involve tourist safety and work at the destinations. This research has practical implications since, during the pandemic, companies can develop prevention plans. Also, governments could implement sustainable development plans that contain measures so that tourists can make their trips during a pandemic.</p></div>

Cited by 0Open access

Dendrogram View.

Wei Luo (80175), Peifeng Yin (523889), Qian Di (523890) et al. · Figshare · 2015

<p>Two layouts to visualize the hierarchical structure of CONCOR results: the left one is a tree layout and the right one is a radial layout. Slider bar is used to control the level of CONCOR results.</p>

Cited by 0Open access

AHC dendrogram.

Ana-Belen Cutillas (4740039), Alejandro Carrasco (759531), Ramiro Martinez-Gutierrez (759532) et al. · Figshare · 2018

Cited by 0Open access

Cluster dendrogram.

Jean Yves Le Reste (815562), Patrice Nabbe (2218294), Alice Billot Grasset (4567909) et al. · Figshare · 2017

Cited by 0Open access

Clusterization dendrogram.

Mohammad M. Al-Sanea (8604162), Garri Chilingaryan (10697078), Narek Abelyan (7305671) et al. · Figshare · 2022

<p>Clusterization of the 74 identified compounds with higher binding energies in comparison to talazoparib. For each cluster ZINC ID of the representative compounds with highest estimated binding energy is labeled.</p>

Cited by 0Open access

Cluster dendrogram.

Eduard Mas-Carrió (5915324), Marcin Churski (505515), Dries Kuijper (4460302) et al. · Figshare · 2024

<p>Cluster dendrogram of diets (de = deer, bi = bison). Clustering analysis group species by diet composition similarity in a tree-like visualisation. If the first split of branches is grouped by species, all diets within species are more similar between each other than to any of the other species’ individual diets.</p> <p>(PNG)</p>

Cited by 0Open access

MAG dendrogram.

David M. Wagner (7349141), Dawn N. Birdsell (12068210), Ryelan F. McDonough (12068213) et al. · Figshare · 2022

<p>A cluster dendrogram of pairwise MASH distances. The cluster was generated from distances with Skbio.</p> <p>(PDF)</p>

Cited by 0Open access

Cluster dendrogram.

Keiko Midorikawa (573687), Masaharu Kuroda (573688), Kaede Terauchi (573689) et al. · Figshare · 2015

<p>A cluster dendrogram was generated using rice seed gene expression data from six samples and the “pvclust” function. Each sample was prepared at 15-DAF seeds from 24 control or 24 N-fertilized plants and were pooled. Three sets of five seeds were picked from each seed pool. C, control samples; N, N-fertilized samples.</p>

Cited by 0Open access

Cluster dendrogram.

Norbert Englebert (248191), Pim Bongaerts (248171), Paul R. Muir (695661) et al. · Figshare · 2017

<p>Site name, depth and generic richness (in brackets) indicated per branch.</p> <p>(PDF)</p>

Cited by 0Open access

Dendrogram analysis.

Sorinel A. Oprisan (3851089), Xandre Clementsmith (7507259), Tamas Tompa (377231) et al. · Figshare · 2019

<p>Euclidian distance between scattered two-dimensional data (a) was used for assigning individual points to clusters based on their similarity as measured by the Euclidian distance between data points (b). The vertical axis of the dendrogram (b) gives the distance between different data points (leaves). The closest points #4 and #5 (see panel a) are clustered together in the dendrogram (panel b) with the lowest horizontal linkage (distance). A horizontal dashed line marked with (a) through the dendrogram (panel b) shows two clusters, which are identified in the actual data (panel a) by the corresponding dashed line. Lower maximum distances among data points split the data in three (dashed-dotted line marked with (b)) and five (double dashed line marked with (c)) clusters, respectively.</p>

Cited by 0Open access

Example dendrogram.

Izaro Goienetxea (4853404), José María Martínez-Otzeta (4853407), Basilio Sierra (639373) et al. · Figshare · 2018

Cited by 0Open access

Polar dendrogram.

Navdeep Gogna (4600675), Rakesh Sharma (131340), Vanika Gupta (3293241) et al. · Figshare · 2017

<p>Polar dendrogram showing differences between all the I treatments (I<i>u</i>, I<i>i</i> and I<i>s</i>) and all the S treatments (S<i>u</i>, S<i>i</i> and S<i>s</i>). Each treatment is an average of five replicates with each replicate consisting of 20 flies.</p>

Cited by 0Open access

Hierarchical dendrogram code

Monasterio Astobiza, Aníbal · Figshare · 2024

This proyect, titled "<b>The Geometry of Language: Understanding LLMs in Bioethics",</b> examines how large language models (LLMs) can assist or complicate ethical decision-making in bioethical contexts.

Cited by 0Open access

Dendrogram of clustering.

Daiana A. De Souza (727298), Ying Wang (11406), Osman Kaftanoglu (30613) et al. · Figshare · 2015

&lt;p&gt;A dendrogram of clustering of the naturally developed queens (Q) and workers (W) (&lt;i&gt;Apis mellifera&lt;/i&gt;): A) Analysis based on traditional morphometric measures and B) Analysis based on geometric morphometric measurements.&lt;/p&gt;

Cited by 0Open access