Selection of Representative Constituents for Unknown, Variable, Complex, or Biological Origin Substance Assessment Based on Hierarchical Clustering.
Sign Up to like & getrecommendations! Published in 2021 at "Environmental toxicology and chemistry"
DOI: 10.1002/etc.5206
Abstract: Many of the newly produced and registered substances are complex mixtures or UVCBs (substances of unknown or variable composition, complex reaction products and biological materials). The latter often consist of a large number of constituents… read more here.
Keywords: hierarchical clustering; selection; selection representative; representative constituents ... See more keywords
Optimal hierarchical clustering on a graph
Sign Up to like & getrecommendations! Published in 2022 at "Networks"
DOI: 10.1002/net.22043
Abstract: Given an undirected graph with positive weights on the edges we study a parametric biobjective graph clustering problem. We remove a subset of edges to break the graph into smaller pieces, that is, connected components,… read more here.
Keywords: optimal hierarchical; clustering graph; hierarchical clustering; graph ... See more keywords
Embedding hierarchical clustering in product quantization for feature indexing
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6626-9
Abstract: Effective indexing is a crucial need for large scale object matching and retrieval. In this work, a novel indexing scheme is presented, that exploits the advantages of hierarchical clustering and product quantization. First, the high… read more here.
Keywords: hierarchical clustering; clustering product; feature; product quantization ... See more keywords
EHCR-FCM: Energy Efficient Hierarchical Clustering and Routing using Fuzzy C-Means for Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2021 at "Telecommunication Systems"
DOI: 10.1007/s11235-020-00712-7
Abstract: Wireless Sensor Network (WSN) is a part of Internet of Things (IoT), and has been used for sensing and collecting the important information from the surrounding environment. Energy consumption in this process is the most… read more here.
Keywords: efficient hierarchical; energy efficient; energy; clustering routing ... See more keywords
A jump model for credit default swaps with hierarchical clustering
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.04.255
Abstract: Abstract The return time series of Credit Default Swaps (CDS) display possibly the highest excess kurtosis and skewness of any asset class in capital markets. Capturing this requires a departure from classical modeling techniques. Here,… read more here.
Keywords: hierarchical clustering; default swaps; model; credit default ... See more keywords
Hierarchical clustering of MS/MS spectra from the firefly metabolome identifies new lucibufagin compounds
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-63036-1
Abstract: Metabolite identification is the greatest challenge when analysing metabolomics data, as only a small proportion of metabolite reference standards exist. Clustering MS/MS spectra is a common method to identify similar compounds, however interrogation of underlying… read more here.
Keywords: metabolome identifies; spectra firefly; identifies new; hierarchical clustering ... See more keywords
Sequential transfer learning based on hierarchical clustering for improved performance in deep learning based food segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-79677-1
Abstract: Accurately segmenting foods from optical images is a challenging task, yet becoming possible with the help of recent advances in Deep Learning based solutions. Automated identification of food items opens up possibilities of useful applications… read more here.
Keywords: transfer learning; hierarchical clustering; deep learning; sequential transfer ... See more keywords
Clustering and Classification of Cotton Lint Using Principle Component Analysis, Agglomerative Hierarchical Clustering, and K-Means Clustering
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Natural Fibers"
DOI: 10.1080/15440478.2017.1340220
Abstract: ABSTRACT Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameters using the High Volume Instrument (HVI). Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC) and k-means clustering were used… read more here.
Keywords: classification; analysis; agglomerative hierarchical; hierarchical clustering ... See more keywords
A New Terrorism Categorization Based on Casualties and Consequences Using Hierarchical Clustering
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Security Research"
DOI: 10.1080/19361610.2020.1769461
Abstract: Abstract This study deployed the agglomerative hierarchical clustering technique on the Global Terrorism Database to develop a new way of categorizing terrorism. Four clusters were extracted, resulting in a new categorization of terrorism based on… read more here.
Keywords: categorization; casualties consequences; consequence terror; terrorism ... See more keywords
Mobility-Aware Hierarchical Clustering in Mobile Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896938
Abstract: Wireless sensor networks (WSNs) are one of the chief enabling technologies for the Internet of Things. These networks are severely resource-constrained which calls for designing energy-efficient and effective routing techniques. The hierarchical- or clustering-based routing… read more here.
Keywords: mobility; mobility aware; hierarchical clustering; sensor networks ... See more keywords
An Energy-Optimization Clustering Routing Protocol Based on Dynamic Hierarchical Clustering in 3D WSNs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923882
Abstract: An important issue in the three-dimensional (3D) wireless sensor networks (WSNs) is sensor energy optimization. To alleviate this issue, we introduce a new 3D spherical network structure model, and by combining the original energy consumption… read more here.
Keywords: cluster; hierarchical clustering; cluster head; energy ... See more keywords