An Improved Deep Clustering Model for Underwater Acoustical Targets
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9755-7
Abstract: Hand-craft features and clustering algorithms constitute the main parts of the unsupervised clustering system. Performance of the clustering deteriorates when the assumed probabilistic distribution of the data differs from the true one. This paper introduces… read more here.
Keywords: deep clustering; underwater acoustical; model; clustering model ... See more keywords
DCSR: Deep clustering under similarity and reconstruction constraints
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.013
Abstract: Abstract Clustering is a difficult but crucial task in pattern recognition and machine learning. Inherently, clustering methods are always subject to the uncertainty of similarities between samples. To weaken the impact of such uncertainty, we… read more here.
Keywords: reconstruction; clustering similarity; deep clustering; similarity reconstruction ... See more keywords
A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric images
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad067
Abstract: Abstract Motivation Mass Spectrometry Imaging (MSI) analyzes complex biological samples such as tissues. It simultaneously characterizes the ions present in the tissue in the form of mass spectra, and the spatial distribution of the ions… read more here.
Keywords: deep clustering; ion images; noise robust; mass ... See more keywords
Deep clustering of bacterial tree images
Sign Up to like & getrecommendations! Published in 2022 at "Philosophical Transactions of the Royal Society B: Biological Sciences"
DOI: 10.1098/rstb.2021.0231
Abstract: The field of genomic epidemiology is rapidly growing as many jurisdictions begin to deploy whole-genome sequencing (WGS) in their national or regional pathogen surveillance programmes. WGS data offer a rich view of the shared ancestry… read more here.
Keywords: deep clustering; clustering bacterial; bacterial tree; comet ... See more keywords
Multi-Head Self-Attention-Based Deep Clustering for Single-Channel Speech Separation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997871
Abstract: Turning attention to a particular speaker when many people talk simultaneously is known as the cocktail party problem. It is still a tough task that remained to be solved especially for single-channel speech separation. Inspired… read more here.
Keywords: attention; separation; deep clustering; self attention ... See more keywords
Intelligent Anomaly Detection for Large Network Traffic With Optimized Deep Clustering (ODC) Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068172
Abstract: The availability of an enormous amount of unlabeled datasets drives the anomaly detection research towards unsupervised machine learning algorithms. Deep clustering algorithms for anomaly detection gain significant research attention in this era. We propose an… read more here.
Keywords: deep clustering; anomaly detection; network traffic; clustering ... See more keywords
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3187215
Abstract: Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate when diagnosed at early stages. Learning-based methods hold significant promise for the detection of melanoma from dermoscopic images. However, since… read more here.
Keywords: deep clustering; highly imbalanced; triplet loss; triplet ... See more keywords
Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3132856
Abstract: The ever-growing developments in technology to capture different types of image data [e.g., hyperspectral imaging and light detection and ranging (LiDAR)-derived digital surface model (DSM)], along with new processing techniques, have led to a rising… read more here.
Keywords: multisensor deep; deep clustering; clustering algorithm; network ... See more keywords
Local-to-Global Deep Clustering on Approximate Uniform Manifold
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3144952
Abstract: Deep clustering usually treats the clustering assignments as supervisory signals to learn a more compact representation with deep neural networks, under the guidance of clustering-oriented losses. Nevertheless, we observe that, without reliable supervision, such losses… read more here.
Keywords: deep clustering; global deep; local global; uniform manifold ... See more keywords
Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3135460
Abstract: In recent years, clustering methods based on deep generative models have received great attention in various unsupervised applications, due to their capabilities for learning promising latent embeddings from original data. This article proposes a novel… read more here.
Keywords: latent embeddings; method; latent; deep clustering ... See more keywords
Deep clustering for abdominal organ classification in ultrasound imaging.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of medical imaging"
DOI: 10.1117/1.jmi.10.3.034502
Abstract: Purpose The purpose of this study is to examine the utilization of unlabeled data for abdominal organ classification in multi-label (non-mutually exclusive classes) ultrasound images, as an alternative to the conventional transfer learning approach. Approach… read more here.
Keywords: deep clustering; organ classification; classification; abdominal organ ... See more keywords