Comparison of Spectrum Cluster Analysis with PCA and Spherical SOM and Related Issues Not Amenable to PCA.
Masaaki OhkitaHeizo TokutakaKazuhiro YoshiharaMatashige OyabuPublished in: WSOM (2014)
Keyphrases
- cluster analysis
- k means
- principal component analysis
- dimension reduction
- categorical data
- clustering method
- feature extraction
- unsupervised learning
- data clustering
- dimensionality reduction
- neural gas
- independent component analysis
- principal components
- clustering algorithm
- discriminant analysis
- fuzzy clustering
- factor analysis
- face recognition
- data analysis
- self organizing maps
- cluster validity
- hierarchical latent class models
- data mining
- linear discriminant analysis
- data mining techniques
- high dimensional
- multidimensional scaling
- active learning
- correlation analysis
- fuzzy c means
- computer vision
- neural network
- feature space
- low dimensional
- partitional clustering
- high dimensional data
- hierarchical clustering
- probabilistic model
- real world