Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections.
Leonidas AkritidisMiltiadis AlamaniotisAthanasios FevgasPanayiotis BozanisPublished in: ICTAI (2020)
Keyphrases
- high dimensionality
- short text
- feature vectors
- feature space
- short texts
- high dimensional
- high dimensional data
- short text classification
- feature selection
- dimensionality reduction
- dimension reduction
- topic detection
- small sample size
- microarray
- feature set
- gene expression data
- text data
- clustering method
- image features
- data points
- feature extraction
- principal component analysis
- feature selection and classification
- support vector machine svm
- decision trees