Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data

Faculty Computer Science Year: 2012
Type of Publication: ZU Hosted Pages: 103-109
Authors:
Journal: Egyptian Informatics Journal ScienceDirect Volume: 13
Keywords : Unsupervised learning , mixture models based , swarm    
Abstract:
In this paper, a new algorithm is presented for unsupervised learning of finite mixture models (FMMs) using data set with missing values. This algorithm overcomes the local optima problem of the Expectation-Maximization (EM) algorithm via integrating the EM algorithm with Particle Swarm Optimization (PSO). In addition, the proposed algorithm overcomes the problem of biased estimation due to overlapping clusters in estimating missing values in the input data set by integrating locally-tuned general regression neural networks with Optimal Completion Strategy (OCS). A comparison study shows the superiority of the proposed algorithm over other algorithms commonly used in the literature in unsupervised learning of FMM parameters that result in minimum mis-classification errors when used in clustering incomplete data set that is generated from overlapping clusters and these clusters are largely different in their sizes.
   
     
 
       

Author Related Publications

  • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
  • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Adaptive competitive learning neural networks", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using Incremental General Regression Neural Network for Learning Mixture Models from Incomplete Data", ScienceDirect, 2011 More

Department Related Publications

  • Ahmed Salah Mohamed Mostafa, "Cluster-Distribute-Align-Merge: A General Algorithm to Speed Up Multiple Sequence Alignment on Multi-Core Computers", Journal of Computational and Theoretical Nanoscience, 2014 More
  • Zaher Awad Aboelenieen Elhendy, "NEW APPROACH TO IMAGE EDGE DETECTION BASED ON QUANTUM ENTROPY", JOURNAL OF RUSSIAN LASER RESEARCH, 2016 More
  • Sarah AbdelRazek Ahmed AbdulHameid, "Cloud Storage Forensics: Survey", International Journal of Engineering Trends and Technology (IJETT), 2017 More
  • Doaa El-Shahat Barakat Mohammed, "A modified hybrid whale optimization algorithm for the scheduling problem in multimedia data objects", Wiley online library, 2019 More
  • Mohammed Abdel Basset Metwally Attia, "A novel model for evaluation Hospital medical care systems based on plithogenic sets", Elsevier B.V., 2019 More
Tweet