Description: CURE (Clustering Using Representatives) is a database for large and efficient clustering algorithm. Based on the breakdown of the traditional clustering algorithm is spherical, equal-sized cluster of abnormal data more vulnerable. CURE adopted by a number of points on behalf of a cluster approach can better deal with these questions. And deal with large amount of data when using the random sampling, area way to improve its efficiency so that it can handle large amounts of data and efficient.
- [cure] - CURE cluster algorithm based on represen
- [chameleon] - chameleon hierarchical clustering algori
- [dbscan-C++] - using the C language for the relevant as
- [curecode] - CURE algorithm to achieve a hierarchical
- [clusterinquest] - cluster in quest clustering algorithm is
- [dbscan] - The source is based on the density of cl
- [MonteCarlo] - Monte Carlo (Monte Carlo) methods, also
- [AI] - 6 AI algorithms, including path planning
- [CURE] - cure
- [c] - CURE: AN EFFICIENT CLUSTERING ALGORITHM
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