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Is there an clustering algorithm with which I can declare expected centroid in advance?

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Abhishek H P
Abhishek H P on 3 Jan 2017
Answered: Massimo Zanetti on 3 Jan 2017
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

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Answers (1)

Massimo Zanetti
Massimo Zanetti on 3 Jan 2017
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.

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