Comparing Clustering Algorithms for Psychomime Classification using Probabilistic Latent Semantic Analysis and Fuzzy c-Means.
Yoshiaki KurosawaNorinobu HatamotoShogo HamadaToshiyuki TakezawaPublished in: KES (2012)
Keyphrases
- fuzzy c means
- clustering algorithm
- fuzzy clustering
- unsupervised clustering
- probabilistic latent semantic analysis
- fcm algorithm
- clustering method
- image segmentation
- k means
- pattern recognition
- scene classification
- euclidean distance
- co occurrence
- cluster validity indices
- cluster analysis
- text classification
- feature extraction
- machine learning
- supervised learning
- image classification
- topic models
- membership functions
- feature selection
- fuzzy logic
- probabilistic model
- training set
- support vector
- latent dirichlet allocation
- computer vision
- artificial intelligence
- information retrieval
- data mining