Comparison of two different dimension reduction methods in classification by arithmetic, geometric and harmonic similarity measure.
Pasi LuukkaAurel MeyerPublished in: FUZZ-IEEE (2004)
Keyphrases
- dimension reduction methods
- similarity measure
- feature vectors
- pattern recognition
- support vector machine
- image classification
- dimension reduction
- classification accuracy
- feature extraction
- decision trees
- feature space
- support vector machine svm
- principal component analysis
- support vector
- computer vision
- distance measure
- multi dimensional
- data sets
- text classification
- model selection
- clustering algorithm
- clustering method
- euclidean distance
- pairwise
- geometric structure
- machine learning