Proposals:Refactoring Statistics Framework 2007 Background: Difference between revisions

From KitwarePublic
Jump to navigationJump to search
No edit summary
No edit summary
Line 7: Line 7:
## Image
## Image
## Data points
## Data points
#Membership function
#Membership models
## Distance functions
## Can be manually set or automatically generated from the sample data
## Can be manually set or automatically generated from the sample data
## Estimators are available to generate membership functions ( ImageModelEstimatorBase, ImageGuassianModelEstimator,ExpectationMaximizationMixtureModelEstimator  )
## Estimators are available to generate membership functions ( ImageModelEstimatorBase, ImageGuassianModelEstimator,ExpectationMaximizationMixtureModelEstimator  )
## Some classes are named with Estimator suffix but they do more than just estimating membership functions
## Some classes are named with Estimator suffix but they do more than just estimating membership functions
###  itkKdTreeBasedKmeansEstimator
###  itkKdTreeBasedKmeansEstimator
# Distance functions
# Decison Rules
# Decison Rules
# Classifiers
# Classifiers

Revision as of 21:09, 16 July 2008

DudaClassifier.png StatisticalClassificationFramework.png


The main components of a classification framework are

  1. Input
    1. Image
    2. Data points
  2. Membership models
    1. Can be manually set or automatically generated from the sample data
    2. Estimators are available to generate membership functions ( ImageModelEstimatorBase, ImageGuassianModelEstimator,ExpectationMaximizationMixtureModelEstimator )
    3. Some classes are named with Estimator suffix but they do more than just estimating membership functions
      1. itkKdTreeBasedKmeansEstimator
  3. Distance functions
  4. Decison Rules
  5. Classifiers
Retrieved from "https://public.kitware.com/Wiki/index.php?title=Proposals:Refactoring_Statistics_Framework_2007_Background&oldid=12660"