基于改进最小生成树的聚类算法 [英] A Clustering Algorithm Based on Improved Minimum Spanning Tree
问题描述
非常感谢..感谢您的建议..再见..保重
Restoring author's original question (which I am restoring
as an example of a question you should not answer):
PLS向我发送了以下摘要的代码,也请尝试详细了解....
nbsp; bsp nbsp; bsp谢谢您
nbsp; bsp nbsp; bsp KALYAN
nbsp; bsp 摘要
数据挖掘算法需要更高的效率
随着数据规模变得越来越大,
数据的维度更大.瞄准较低
前MST的效率(最小生成树)
基于基因表达的聚类算法
修改的IMST(改进的最小生成树)
应用于常见问题的聚类算法是
带领向前.理论与实例分析
表明新的IMST聚类算法可以增强
生成树的效率和可以
解决排序问题以缩短聚类中的边缘
最小生成树.最后,两者的效率
PLS SEND ME THE CODE FOR THE BELOW ABSTRACT AND ALSO TRY TO EXPLAIN IN DETAILS....
THANK YOU
KALYAN
ABSTRACT
The algorithms of data mining need better efficiency
as data scale becomes larger and larger and the
dimension of data is more. Aiming at the lower
efficiency of the former MST (minimum spanning tree)
clustering algorithm based on gene expression, a
modified IMST (improved minimum spanning tree)
clustering algorithm applied to common problem is
brought forward. The analyzing of theory and example
show that new IMST clustering algorithm can enhance
the efficiency of constructing spanning tree and can
solve sorting problem for shorter edges of clustering in
minimum spanning trees. At last, both the efficiency of
clustering and its effect are improved whole.
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