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Stochastic Disturbance Propagation Model Analysis of Power Grids Based on Epidemic Model and Improved Clustering
Based on epidemic model, a stochastic disturbance propagation model of power grids is proposed in this paper. Firstly, compared with epidemic model,...
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Multi Source Data Association Clustering Analysis Based on Symmetric Encryption Algorithm
Due to the low clustering accuracy of the existing methods, a multi-source data association clustering method based on symmetric encryption algorithm...
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A User Study of Two Downstream Single-Cell Data Analysis Methods: Clustering and Trajectory Inference
Recent advancements in deep learning have significantly improved the analysis of single-cell data, including clustering and trajectory inference....
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Flight risk evaluation based on flight state deep clustering network
Flight risk evaluation based on data-driven approach is an essential topic of aviation safety management. Existing risk analysis methods ignore the...
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Feature selection with clustering probabilistic particle swarm optimization
Dealing with high-dimensional data poses a significant challenge in machine learning. To address this issue, researchers have proposed feature...
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Analysis of Data Clustering: Factors Influencing the Demarketing of Breast Milk Alternatives
This study employs data clustering techniques to examine the factors influencing the demarketing of breast milk alternatives. The dataset is...
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Encryption Transmission Verification Method of IT Operation and Maintenance Data Based on Fuzzy Clustering Analysis
In this study, an IT operation and maintenance data encryption transmission verification algorithm based on fuzzy clustering analysis is presented....
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Differential evolution-based transfer rough clustering algorithm
Due to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of...
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Energy-Efficient Object Detection: Impact of Weight Clustering for Different Arithmetic Representations
Object detection in video streams is often realized with Deep Neural Networks (DNNs), which require fetching, to the computing unit where they are...
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Adaptive Trajectory Data Stream Clustering
Trajectory data mining is a field that focuses on analyzing and extracting insights from the movement patterns of objects over time. The realm of...
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Fast monte-carlo clustering for signal separation of RFID collision tags at physical layer
In ultra-high frequency (UHF) radio frequency identification (RFID) systems, enhancing communication efficiency is crucial. This paper proposes a...
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Time series clustering of dynamical systems via deterministic learning
A recent deterministic learning theory has achieved locally-accurate identification of unknown system dynamics. This article presents a novel...
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Consistent multi-view subspace clustering with local structure information
Multi-view subspace clustering has attracted extensive attention in recent years because it can fully utilize the inherent characteristics of each...
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Research on Hybrid Data Clustering Algorithm for Wireless Communication Intelligent Bracelets
Wireless communication smart bracelet data include motion data, sleep time data, heart rate and blood pressure data and positioning data, etc. These...
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Entropy regularized fuzzy nonnegative matrix factorization for data clustering
Clustering high-dimensional data is very challenging due to the curse of dimensionality. To address this problem, low-rank matrix approximations are...
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Block diagonal representation learning with local invariance for face clustering
Facial data under non-rigid deformation are often assumed lying on a highly non-linear manifold. The conventional subspace clustering methods, such...
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Clustering method for time-series images using quantum-inspired digital annealer technology
Time-series clustering is a powerful data mining technique for time-series data in the absence of prior knowledge of the clusters. Here we propose a...
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Green Anaconda Optimization Based Energy Aware Clustering Protocol for 6G Wireless Communication Systems
The massive communication abilities of 6G wireless systems that will contribute considerably to global environmental sustainability and provide huge...
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Performance Analysis of Static and Dynamic Clustering Protocols for Wireless Sensor Network
Power consumption is a critical issue in wireless sensor networks, since sensor nodes are typically battery powered and have limited energy reserves....
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Enhancing sentiment analysis using Roulette wheel selection based cuckoo search clustering method
Sentiment analysis is a type of contextual text mining that assesses how users feel about emotive topics that are frequently discussed on social...
