Hybrid clustering technique of PCA-SM-GHSOM for abnormal and normal classification with quarterly financial ratios of listed TCM company sector.
Ruicheng YangPublished in: Int. J. Simul. Process. Model. (2016)
Keyphrases
- unsupervised learning
- principal components analysis
- feature extraction
- self organizing maps
- feature space
- k means
- bankruptcy prediction
- learning vector quantization
- financial ratios
- financial statements
- principal component analysis
- feature vectors
- classification accuracy
- clustering algorithm
- supervised learning
- anomaly detection
- dimensionality reduction
- high dimensionality
- support vector machine
- case study
- machine learning
- text classification
- support vector machine svm
- decision trees
- model selection
- high dimensional data
- neural network
- semi supervised
- principle component analysis
- abnormal behavior
- feature selection