Discovering Latent Topics by Gaussian Latent Dirichlet Allocation and Spectral Clustering.
Bo YuanXinbo GaoZhenxing NiuQi TianPublished in: ACM Trans. Multim. Comput. Commun. Appl. (2019)
Keyphrases
- spectral clustering
- latent topics
- latent dirichlet allocation
- topic models
- topic modeling
- data clustering
- clustering method
- generative model
- pairwise
- nonnegative matrix factorization
- probabilistic topic models
- text mining
- probabilistic latent semantic analysis
- k means
- dirichlet process
- lda model
- text documents
- clustering algorithm
- variational inference
- dimensionality reduction
- image segmentation
- bag of words
- negative matrix factorization
- latent semantic analysis
- pattern recognition
- feature selection
- unsupervised learning
- image classification
- co occurrence
- data points
- probabilistic model
- object recognition
- latent topic model