I'm currently trying to decide what classifier to use for my snore detection algorithm. Which uses some features like Zero cross rating, frequency band energy, first formants...
The classifiers which have been pointed to are:
Support Vector Machine Naive Bayes Classifier Knn Nearest Neighbour Linear or Quadratic Classifier
However, could somebody describe what situation each classifier is used in, or point me to a good paper, website for article which describes each classifier well.. I find the Mathworks website hard to understand the difference between each.