A clustering‐based approach to address correlated features in predicting genitourinary toxicity from MRI‐guided prostate SBRT
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17834
Abstract: It is common in outcome analysis to work with a large set of candidate prognostic features. However, such high‐dimensional input and relatively small sample size leads to risk of overfitting, low generalizability, and correlation bias. read more here.
Keywords: clustering based; approach address; correlated features; address correlated ... See more keywords
Modified clustering-based differential evolution with a flexible combination of exploration and exploitation
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DOI: 10.1007/s00500-017-2950-7
Abstract: Differential evolution (DE) has been extensively used in optimization problem. However, original DE has some shortcomings. Up to now, there have been a lot of its variations. In this paper, a modified version of differential… read more here.
Keywords: evolution; clustering based; based differential; modified clustering ... See more keywords
Clustering-based heterogeneous optimized-HEED protocols for WSNs
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DOI: 10.1007/s00500-019-04000-8
Abstract: Clustering-based networks play a vital role in efficient utilization of energy consumption of each sensor node (SN) in wireless sensor networks (WSNs). Furthermore, firstly, prolonged network’s lifetime is observed as the key factor to analyze… read more here.
Keywords: region; network lifetime; optimized heed; clustering based ... See more keywords
Novel clustering-based pruning algorithms
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DOI: 10.1007/s10044-020-00867-8
Abstract: One of the crucial problems of designing a classifier ensemble is the proper choice of the base classifier line-up. Basically, such an ensemble is formed on the basis of individual classifiers, which are trained in… read more here.
Keywords: pruning algorithms; novel clustering; based pruning; clustering based ... See more keywords
Scalable non-deterministic clustering-based k-anonymization for rich networks
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DOI: 10.1007/s10207-018-0409-1
Abstract: In this paper, we tackle the problem of graph anonymization in the context of privacy-preserving social network mining. We present a greedy and non-deterministic algorithm to achieve k-anonymity on labeled and undirected networks. Our work… read more here.
Keywords: scalable non; clustering based; anonymization; based anonymization ... See more keywords
Clustering-based attack detection for adversarial reinforcement learning
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DOI: 10.1007/s10489-024-05275-7
Abstract: Detecting malicious attacks presents a major challenge in the field of reinforcement learning (RL), as such attacks can force the victim to perform abnormal actions, with potentially severe consequences. To mitigate these risks, current research… read more here.
Keywords: detection; clustering based; attack; attack detection ... See more keywords
Optimal clustering based outlier detection and cluster center initialization algorithm for effective tone mapping
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07907-4
Abstract: The high dynamic range (HDR) imaging and displaying a wide range of imaging levels in the imaging industry is found in the world using devices with limited dynamic range. Generally, the clustering system plays an… read more here.
Keywords: detection cluster; cluster; tone mapping; clustering based ... See more keywords
A clustering-based approach to vortex extraction
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DOI: 10.1007/s12650-020-00636-z
Abstract: Abstract Since vortex is an important flow structure and has significant influence on numerous industrial applications, vortex extraction is always a research hotspot in flow visualization. This paper presents a novel vortex extraction method by… read more here.
Keywords: extraction; clustering based; approach; vortex extraction ... See more keywords
Clustering-Based EMT Model for Predicting Student Performance
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-04578-4
Abstract: Predicting students’ performance has emerged as an attractive task among researchers. They use supervised and unsupervised educational data mining (EDM) techniques to build an understandable and effective model. This helps decision makers enhance the performance… read more here.
Keywords: based emt; clustering based; relevant features; model ... See more keywords
Sensor clustering-based approach for structural damage identification under ambient vibration
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DOI: 10.1016/j.autcon.2020.103433
Abstract: Abstract This study explored the sensor clustering-based damage detection beyond the free-vibration limitation to allow for the direct utilisation of time-series for damage identification under ambient vibration. In the proposed method, a dense sensor network… read more here.
Keywords: clustering based; damage identification; vibration; damage ... See more keywords
Algorithmic clustering based on string compression to extract P300 structure in EEG signals
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.03.009
Abstract: BACKGROUND AND OBJECTIVES P300 is an Event Related Potential control signal widely used in Brain Computer Interfaces. Using the oddball paradigm, a P300 speller allows a human to spell letters through P300 events produced by… read more here.
Keywords: algorithmic clustering; methodology; compression; structure ... See more keywords