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Huntsville, AL 35899
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ADaM Documentation

Below are links to a tutorial and an overview of data mining, with examples using ADaM modules.

Please refer to this overview document for information on what image processing and data mining components are available in the 4.0.2 release of ADaM. Tutorial>>

Below is a link to a document containing API details about the individual ADaM 4.0.2 components. This is a compiled listing of header documentation that is also available when running the component executables interactively. Overview>>

 

ADaM 4.0.2 Components

Pattern Recognition   Image Processing

Classification Techniques
Bayes Classifier
• Naïve Bayes Classifier
Bayes Network Classifier
• CBEA Classifier
• Decision Tree Classifier
• SEA classifier
• Very Fast Decision Tree
  Classifier
• Back Propagation Neural
  Network
• k-Nearest Neighbor
  Classifier
• Multiple Prototype Minimum
  Distance Classifier
• Recursively Splitting Neural
  Network

Clustering Techniques
• DBSCAN
• Hierarchical Clustering
• Isodata
• k-Means
• k-Mediods
• Maximin

Feature Selection Techniques
• Backward Elimination
• Forward Selection
• Principal Components
• RELIEF (filter-based feature
  selection)
• Removing Attributes
• Checking Range

Pattern Recognition Utilities
• Accuracy Measures
• Data Cleaning
• k-Fold Cross Validation
• Vector Magnitude
• Merging Patterns
• Normalization
• Sampling
• Subsetting
• Statistics
• Cleaning Outliers
• Comparing Image File
• Comparing ASCII files
• Discretization
• Magnitude Computation

Association Rules
• Apriori

Optimization Techniques
• Genetic Algorithm
• Hill Climbing
• Simulated Annealing
 

Basic Image Operations
• Arithmetic Operations(+-*/)
• Collaging
• Cropping
• Image Difference
• Image Normalization
• Image Moments
• Equalization
• Inverse
• Quantization
• Relative Level Quantization
• Resampling
• Rotation
• Scaling
• Statistics
• Thresholding
• Vector Plot

Segmentation/Edge and Shape Detection
Boundary Detection
Polygon Circumscription
Making Region
Marking Region

Filtering
• Dilation
• Energy
• Erosion
• Fast Fourier Transfer
• Median and Mode Filters
• Pulse Coupled Neural
  Network
• Spatial Filter

Texture Features
Association Rules
Fractal Dimension
Gabor Filter
GLCM (Gray Level
  Concurrence Matrix)
GLRL (Gray Level Run
  Length)
Markov Random Field
  Computing