On the Use of PLDA i-vector Scoring for Clustering Short Segments.
Itay SalmunIrit OpherItshak LapidotPublished in: Odyssey (2016)
Keyphrases
- clustering algorithm
- k means
- clustering method
- outlier detection
- self organizing maps
- information theoretic
- hierarchical clustering
- unsupervised learning
- document clustering
- data clustering
- data points
- distance metric
- computer vision
- vector space
- linear discriminant analysis
- spectral clustering
- feature vectors
- categorical data
- unsupervised clustering
- temporal segmentation
- scoring methods