数据挖掘中网格聚类算法的分析研究
Research of the Grid-Based Clustering Algorithm in Data Mining
聚类分析有广泛的应用，是数据挖掘中非常重要的方法。聚类分析算法有多种分类，每种方法在不同领域发挥了不同的作用。针对基于网格方法的聚类算法进行专门研究，比较分析了传统的和改进的基于网格方法的聚类算法，列举了它们的优点和不足。针对传统网格聚类算法中网格划分方法的不足，提出了一种基于动态网格划分的聚类算法 DyGrid。
luster analysis is a very important method in data mining and is widely used. Clustering algorithms have a variety of categories, and each method plays a different role in different areas. Make special research for gird-based clustering algorithm and comparatively analysis's of gird-based clustering algorithm. Each gird-based clustering algorithm has its own advantage and disadvantage. For the lack of meshing method in the traditional grid-based clustering algorithm , an improved algorithm(DyGrid) was proposed.
徐莉、辛阳、杨义先
计算技术、计算机技术
聚类分析聚类算法网格基于网格的聚类算法
clustering analysisclustering algorithmGridgird-based clustering algorithm
徐莉,辛阳,杨义先.数据挖掘中网格聚类算法的分析研究[EB/OL].(2012-11-08)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201211-124.点此复制
评论