Combining Clustering Algorithms to Extract Symmetric Clusters from Noisy Data, Applied to Parking Lots.
Gyulai-Nagy Zoltán-ValentinPublished in: ENASE (2024)
Keyphrases
- noisy data
- clustering algorithm
- fuzzy clustering
- fuzzy c means
- data clustering
- cluster analysis
- document clustering
- incremental clustering
- overlapping clusters
- noise tolerant
- input data
- hierarchical clustering
- feature selection
- missing values
- dimensionality reduction
- k means
- arbitrary shape
- clustering approaches
- hierarchical clustering algorithm
- pattern recognition
- feature extraction
- neural network
- agglomerative hierarchical clustering