Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity.
Claudio DuránA. AcevedoSara CiucciAlessandro MuscoloniCarlo V. CannistraciPublished in: CoRR (2019)
Keyphrases
- similarity function
- clustering algorithm
- similarity measure
- distance metric
- high dimensional
- k means
- clustering method
- similarity calculation
- dissimilarity measure
- high similarity
- markov chain
- euclidean distance
- categorical data
- cosine similarity
- outlier detection
- distance measure
- similarity computation
- cluster analysis
- similar objects
- measuring similarity
- sparse linear
- conditional independence
- web sessions
- similarity metric
- hierarchical clustering
- self organizing maps
- data points
- sparse coding
- similarity scores
- similarity matrix
- high dimension
- document clustering
- high order
- sparse representation
- distance function
- cluster validation
- unsupervised learning