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Model-based clustering of multipath propagation in powerline communication channels
Powerline communication (PLC) channels are known to exhibit multipath propagation behaviour. The authors present a model-based framework to address...
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Genetic Clustering-Based Equivalent Model of Wind Farm with Doubly Fed Induction Generator
With increasing the number of wind power generators, the consumption time of electromagnetic simulation of the wind farm explodes. To reduce the...
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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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Research on Scenario-Based Clustering Model and Analysis Method for Airworthiness Provisions
Airworthiness provisions are the requirements that must be followed in the development of civil aircraft. In view of the abstract characteristics of...
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A hybrid data perturbation and mean clustering approach based privacy preserving classification model for large databases
Privacy preserving in large databases plays a vital role for the clustering and classification process. Since, most of the traditional models are...
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Table Tennis Teaching 3D Model Based on Hierarchical Clustering Intelligent Algorithm
Table tennis is an important branch of college sports courses, but the contradiction between the uneven basic skills of students and the overly...
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Building the forecasting model for interval time series based on the fuzzy clustering technique
This study uses fuzzy clustering technique to develop a predictive model for interval time series. The proposed model is divided into three phases,...
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Supervised Clustering for Optimal Sub-model Selection in Reactor-Based Models
Reactor-based models are well-suited Turbulence-Chemistry Interactions, Sub-Grid Scale closures for Large Eddy Simulation (LES) due to their ability...
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Anonymizing Big Data Streams Using In-memory Processing: A Novel Model Based on One-time Clustering
Big data privacy preservation is a critical challenge for data mining and data analysis. Existing methods for anonymizing big data streams using...
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Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation
Gaussian mixture models (GMM) are the most-widely employed approach to perform model-based clustering of continuous features. Grievously, with the...
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Advances in Robust Constrained Model Based Clustering
Model-based approaches to cluster analysis and mixture modelling often involve maximizing classification and mixture likelihoods. Robust clustering...
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Hybrid Clustering-Based Fast Support Vector Machine Model for Heart Disease Prediction
Over the past few decades, heart disease has seen significant growth among all ages and early prediction became necessary. Data mining and machine...
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Fuzzy C-means Clustering Image Segmentation Algorithm Based on Hidden Markov Model
Aiming at the poor anti-jamming effect of traditional fuzzy c-means clustering image segmentation method, a fuzzy c-means clustering image...
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Construction of Data Mining Model of CRM Marketing Based on Big Data Clustering Analysis
In the current competitive business landscape, the significance of Customer Relationship Management (CRM) has become increasingly prominent, as...
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Prediction of rice disease using modified feature weighted fuzzy clustering (MFWFC) based segmentation and hybrid classification model
Rice production is hugely affected by the rice blast disease among all the diseases. This work’s proposed a Modified Artificial Bee Colony...
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Clustering Based Hybrid Optimized Model for Effective Data Transmission
The Internet of Things (IoT) is a system of unified gadgets that can conversation data and operate in tandem thanks to the web. When it comes to the...
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HFS-based computational method for weighted fuzzy time series forecasting model using techniques of adaptive radius clustering and grey wolf optimization
Recently, hesitant fuzzy sets (HFSs) have been used extensively in time series forecasting. HFSs have inherent characteristics of addressing problem...
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A deep transfer learning model based on pockets clustering and feature reconstruction for dimensional accuracy forecast in aerospace skin parts manufacturing
Skin parts are widely used in the modern aerospace industry. The remaining wall thickness of pockets on a skin part must be precisely controlled to...
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Peripheral blood cell classification using modified local-information weighted fuzzy C-means clustering-based golden eagle optimization model
This paper presents a novel medical image processing technique for analyzing different peripheral blood cells such as monocytes, lymphocytes,...
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Personalized Music Recommendation Model Based on Collaborative Filtering Algorithm and K-Means Clustering
Personalized music recommendation technology provides personalized service for users, so that users can find the products they are interested in in...