New hybrid data orientation cluster algorithm

作者：Liao Zhi Fang; Luo Hao; Fan Xiao Ping^*; Liu Ke Zhun

来源：Control and Decision, 2009, 24(5): 697-700+705.

• Cluster algorithms
• Covers
• Data clustering
• Hybrid data
• Lattice
• Public data
• Similarity
• Space complexity
• Traditional clustering

Based on the analysis of the traditional clustering algorithms, an algorithm is presented to cluster the hybrid data. The method changes the object';s attributes to lattice based on the conception of simple tuples and hyper tuples, uses the numbers of covers to measure the similarity between labels, and chooses the clustering mean-point according to the rule of high covers to high similarity. Experiment results based on public data set show that the proposed algorithm can improve the quality of hybrid data clustering, and doesn';t increase the space complexity.

• 出版日期2009
• 单位中南大学