Innovative study on clustering center and distance measurement of K-means algorithm: mapreduce efficient parallel algorithm based on user data of JD mall.
Yang LiuXinxin DuShuaifeng MaPublished in: Electron. Commer. Res. (2023)
Keyphrases
- k means
- spectral clustering
- cluster centers
- parallel algorithm
- clustering method
- clustering algorithm
- distance measurement
- clustering result
- data points
- data sets
- rough k means
- input data
- high dimensional data
- hierarchical clustering
- training data
- similarity measure
- large scale data sets
- parallel computation
- optimal solution
- inter processor communication
- cluster of workstations
- objective function
- dimensionality reduction
- data structure
- convex hull
- distance metric
- parallel implementation
- lower bound
- association rules
- parallel implementations
- discovery of association rules
- search space
- d objects
- relevance feedback