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Validating the knowledge represented by a self-organizing map with an expert-derived knowledge structure
BackgroundProfessionals are reluctant to make use of machine learning results for tasks like curriculum development if they do not understand how the...
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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units
This work introduces a deep-learning network, i.e., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two...
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Integrating self-organizing feature map with graph convolutional network for enhanced superpixel segmentation and feature extraction in non-Euclidean data structure
Deep learning has been widely used on Euclidean data type, and the deep learning architecture has made a breakthrough by the development of...
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A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map
Empirical study attempts to analyze major trends of phishing Uniform Resource Locator detection, emphasized on improvement of 80% training data on...
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Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep...
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Self-organizing Maps
Self-organizing maps are closely related to radial basis function networks. They can be seen as radial basis function networks without an output...
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Application of self-organizing maps to AFM-based viscoelastic characterization of breast cancer cell mechanics
Cell mechanical properties have been proposed as label free markers for diagnostic purposes in diseases such as cancer. Cancer cells show altered...
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Analysing the Residential Market Using Self-Organizing Map
Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works...
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Stability analysis of a neural field self-organizing map
We provide theoretical conditions guaranteeing that a self-organizing map efficiently develops representations of the input space. The study relies...
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Zero-shot learning via self-organizing maps
Collecting-labeled images from all possible classes related to the task at hand is highly impractical and may even be impossible. At this point,...
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Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components
This paper deals with a batch self organizing map algorithm for data described by distributional-valued variables (DBSOM). Such variables are...
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Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks
The present work introduces a hybrid integration of the self-organizing map and the hidden Markov model (HMM) for anomaly detection in 802.11...
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Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering
A recent research area in unsupervised learning is the combination of representation learning with deep neural networks and data clustering. The...
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Using dynamic time war** self-organizing maps to characterize diurnal patterns in environmental exposures
Advances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures...
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Monthly Streamflow Modeling Based on Self-Organizing Maps and Satellite-Estimated Rainfall Data
Hydrological data provide valuable information for the decision-making process in water resources management, where long and complete time series are...
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Pseudo-Label-Assisted Self-Organizing Maps for Brain Tissue Segmentation in Magnetic Resonance Imaging
Brain tissue segmentation in magnetic resonance imaging volumes is an important image processing step for analyzing the human brain. This paper...
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Utilization of Self-organizing Maps for Map Depiction of Multipath Clusters
Clustering of multipath components (MPC) simplifies the analysis of the wireless environment to produce the channel impulse response which leads to...
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Self-Organizing Maps for Data Purchase Support in Data Marketplaces
Data marketplaces have become popular in recent years, in particular for enterprises who want to enrich their own data with novel data from outside...