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The exhaustive list of topics in Pattern Recognition in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Data sets for Pattern Recognition
  • Different Paradigms of Pattern Recognition
  • Representations of Patterns and Classes
  • Metric and non-metric proximity measures
  • Feature extraction
  • Different approaches to Feature Selection
  • Nearest Neighbour Classifier and variants
  • Efficient algorithms for nearest neighbor classification
  • Different Approaches to Prototype Selection
  • Bayes Classifier
  • Decision Trees
  • Linear Discriminant Function
  • Support Vector Machines
  • Clustering
  • Clustering Large datasets
  • Combination of Classifiers