نتایج جستجو برای: agglomerative hierarchical cluster analysis

تعداد نتایج: 2989328  

2014
Ryo Sakai Raf Winand Toni Verbeiren Andrew Vande Moere Jan Aerts Jan Oosting Eamonn Maguire Rodrigo Santamaria

Dendrograms are graphical representations of binary tree structures resulting from agglomerative hierarchical clustering. In Life Science, a cluster heat map is a widely accepted visualization technique that utilizes the leaf order of a dendrogram to reorder the rows and columns of the data table. The derived linear order is more meaningful than a random order, because it groups similar items t...

Journal: :IOP Conference Series: Materials Science and Engineering 2020

Journal: :Pattern Recognition 2023

Agglomerative hierarchical clustering (AHC) is one of the popular approaches. AHC generates a dendrogram that provides richer information and insights from dataset than partitioning clustering. However, major problem with existing distance-based methods is: it fails to effectively identify adjacent clusters varied densities, regardless cluster extraction applied resultant dendrogram. This paper...

Journal: :Biostatistics 2014
Craig Anderson Duncan Lee Nema Dean

Disease mapping is the field of spatial epidemiology interested in estimating the spatial pattern in disease risk across [Formula: see text] areal units. One aim is to identify units exhibiting elevated disease risks, so that public health interventions can be made. Bayesian hierarchical models with a spatially smooth conditional autoregressive prior are used for this purpose, but they cannot i...

2005
Katherine A. Heller Zoubin Ghahramani

We present two new algorithms for fast Bayesian Hierarchical Clustering on large data sets. Bayesian Hierarchical Clustering (BHC) [1] is a method for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. BHC has several advantages over traditional distancebased agglomerative clustering algorithms. It defines a probabilistic model of the data a...

2014
Raghvendra Mall Rocco Langone Johan A. K. Suykens

We propose an agglomerative hierarchical kernel spectral clustering (AH-KSC) model for large scale complex networks. The kernel spectral clustering (KSC) method uses a primal-dual framework to build a model on a subgraph of the network. We exploit the structure of the projections in the eigenspace to automatically identify a set of distance thresholds. These thresholds lead to the different lev...

Journal: :International Journal on Smart Sensing and Intelligent Systems 2016

Journal: :Hayati Journal of Biosciences 2022

Latex diagnosis is widely adopted in natural rubber-producing countries to optimize the rubber production through a physiological-based latex-harvesting system management. This study first bibliographical searching and meta-analysis on variation of latex physiological parameters i.e. sucrose, inorganic phosphorus, thiols, total solid content. The used information extracted from 158 scientific p...

Journal: :Horticulturae 2021

Fragaria nilgerrensis Schlecht. (wild strawberry) is widely distributed in Southwest China, characterized by stress tolerance and the fruits of a notable peach aroma. So far there only limited knowledge variability genetic structure this species. Using AFLP markers, we investigated 37 plants F. sampled six main mountain areas Sichuan Province analyzed their structure. Genetic similarity accordi...

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