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Entropy Regularization for Unsupervised Clustering with Adaptive Neighbors
Pattern Recognition
◽
10.1016/j.patcog.2021.108517
◽
2022
◽
pp. 108517
Author(s):
Jingyu Wang
◽
Zhenyu Ma
◽
Feiping Nie
◽
Xuelong Li
Keyword(s):
Unsupervised Clustering
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References
Unsupervised Clustering Method for Real Time Speaker Identification Systems
International Institute of Engineers (IIE) May 22-23, 2015 Dubai (UAE)
◽
10.15242/iie.e0515017
◽
2015
◽
Keyword(s):
Real Time
◽
Speaker Identification
◽
Unsupervised Clustering
◽
Clustering Method
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Faculty Opinions recommendation of Challenges in unsupervised clustering of single-cell RNA-seq data.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.734773782.793581119
◽
2020
◽
Author(s):
Sushmita Roy
Keyword(s):
Single Cell
◽
Unsupervised Clustering
◽
Rna Seq
Download Full-text
An unsupervised clustering-based sectionalized displacement reconstruction method for smart geogrids integrated with fiber Bragg grating sensors
Construction and Building Materials
◽
10.1016/j.conbuildmat.2021.122924
◽
2021
◽
Vol 286
◽
pp. 122924
Author(s):
Zheng-fang Wang
◽
Wen-qiang Kang
◽
Jing Wang
◽
Chang-bin Tian
◽
Qin-mei Sui
◽
...
Keyword(s):
Fiber Bragg Grating
◽
Unsupervised Clustering
◽
Bragg Grating
◽
Reconstruction Method
◽
Fiber Bragg Grating Sensors
◽
Displacement Reconstruction
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Unsupervised clustering and multi-optima evolutionary search
2014 IEEE Congress on Evolutionary Computation (CEC)
◽
10.1109/cec.2014.6900431
◽
2014
◽
Cited By ~ 3
Author(s):
Vassilis P. Plagianakos
Keyword(s):
Unsupervised Clustering
◽
Evolutionary Search
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Evaluation of Unsupervised Clustering Methods on Hyperspectral Image Data Sets
2018 IEEE International Conference on Progress in Informatics and Computing (PIC)
◽
10.1109/pic.2018.8706315
◽
2018
◽
Author(s):
Wei Zhang
◽
Zhichao Lian
◽
Chanying Huang
Keyword(s):
Hyperspectral Image
◽
Image Data
◽
Unsupervised Clustering
◽
Data Sets
◽
Clustering Methods
◽
Hyperspectral Image Data
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Model Structure Identification of Hybrid Dynamical Systems based on Unsupervised Clustering and Variable Selection
IFAC-PapersOnLine
◽
10.1016/j.ifacol.2020.12.1305
◽
2020
◽
Vol 53
(2)
◽
pp. 1090-1095
Author(s):
Duc-An Nguyen
◽
Jude Nwadiuto
◽
Hiroyuki Okuda
◽
Tatsuya Suzuki
Keyword(s):
Dynamical Systems
◽
Variable Selection
◽
Unsupervised Clustering
◽
Structure Identification
◽
Hybrid Dynamical Systems
◽
Model Structure
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Unsupervised clustering of battery waveforms in off-grid PV installations
2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
◽
10.1109/ever48776.2020.9242942
◽
2020
◽
Author(s):
I. Sanz-Gorrachategui
◽
P. Pastor-Flores
◽
A. Guillen-Asensio
◽
J.S. Artal-Sevil
◽
A. Bono-Nuez
◽
...
Keyword(s):
Unsupervised Clustering
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Development of novel combustion risk index for flammable liquids based on unsupervised clustering algorithms
Journal of Loss Prevention in the Process Industries
◽
10.1016/j.jlp.2021.104422
◽
2021
◽
Vol 70
◽
pp. 104422
◽
Cited By ~ 1
Author(s):
Chenxi Ji
◽
Zeren Jiao
◽
Shuai Yuan
◽
Mahmoud M. El-Halwagi
◽
Qingsheng Wang
Keyword(s):
Risk Index
◽
Clustering Algorithms
◽
Unsupervised Clustering
◽
Flammable Liquids
Download Full-text
Dimensionality reduction and unsupervised clustering for EELS-SI
Ultramicroscopy
◽
10.1016/j.ultramic.2021.113314
◽
2021
◽
pp. 113314
Author(s):
Jinseok Ryu
◽
Hyeohn Kim
◽
Ryeong Myeong Kim
◽
Sungtae Kim
◽
Jaeyeon Jo
◽
...
Keyword(s):
Dimensionality Reduction
◽
Unsupervised Clustering
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Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data
Ecological Indicators
◽
10.1016/j.ecolind.2015.12.026
◽
2016
◽
Vol 64
◽
pp. 49-58
◽
Cited By ~ 33
Author(s):
Elisa Schäfer
◽
Janne Heiskanen
◽
Vuokko Heikinheimo
◽
Petri Pellikka
Keyword(s):
Species Diversity
◽
Tree Species
◽
Imaging Spectroscopy
◽
Montane Forest
◽
Unsupervised Clustering
◽
Tropical Montane Forest
◽
Spectroscopy Data
◽
Tree Species Diversity
◽
Airborne Imaging
Download Full-text
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