Old Web
A New Approach of Data Clustering by Improved ACA with Fuzzy Similarity
2007
An approach of data clustering based on improved ACA with fuzzy similarity (ACA-Cluster) is presented. Combined with the global distribution and gradual evolution of improved ACA, we assign distribution rate as heuristic function to accelerate convergence. Performance of the algorithm is compared with K-means and LF to demonstrate efficiency and quality.
Keywords:
- Heuristic function
- Correlation clustering
- Fuzzy logic
- Cluster analysis
- Ant colony optimization algorithms
- k-means clustering
- CURE data clustering algorithm
- Canopy clustering algorithm
- Machine learning
- Artificial intelligence
- Computer science
- Information engineering
- fuzzy similarity
- Convergence (routing)
- Data mining
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
5
References
9
Citations
NaN
KQI