Info
此问题已关闭。 请重新打开它进行编辑或回答。
Is there an clustering algorithm with which I can declare expected centroid in advance?
1 次查看(过去 30 天)
显示 更早的评论
Hi Friends,
I need to Cluster a dataset by declaring the centroids before starting a cluster itself. For eg:
Dataset includes {A,B,C,D,E,F}
A=(1,1)
B=(1.1,1.1)
C=(.9,.9)
D=(10,10)
E=(10.1,10.1)
F=(9.9,9.9)
I want to know the nearby values to B data Point. So Please let me know if there
0 个评论
回答(1 个)
Massimo Zanetti
2017-1-3
The k-means clustering is what you need. You can start the algorithm by selecting your own initial centroids by setting the parameter 'Start' to a matrix in which rows are your centroids.
Read carefully the documentation.
0 个评论
此问题已关闭。
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!