Efficient way to cluster points on line y=ax+b? and now extend the idea to higher dimensional data?

Answer 1

Are you using SQL Server Data Mining for clustering?

 

For points (x,y) in the line y=ax+b, you'll detect clusters only using attribute x since y is a dependent variable. Any clustering algorithm will be able to handle this efficiently. When you mention higher dimensional data, I assume you mean more independent variables, but the idea is the same.

 

Please let me know any specific questions you have regarding SQL Server Data Mining or Clustering algorithm in general

Answer 2

For points (x,y) in the line y=ax+b, you'll detect clusters only using attribute x since y is a dependent variable. Any clustering algorithm will be able to handle this efficiently. When you mention higher dimensional data, I assume you mean more independent variables, but the idea is the same.

Please let me know any specific questions you have regarding SQL Server Data Mining or Clustering algorithm in general

Can this be described in more detail?

I could not grasp who will do what and how. That is - to discern between "you'll detect" and "Any clustering algorithm will be able...".

Also, I could not understand why "only using attribute x since y is a dependent variable".
To me, this is quite symmetric:
x is also dependent on y as x = (y - b) /a

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Guennadi Vanine -- Gennady Vanin -- Геннадий Ванин