This is the first time I have run into this problem. My MSSQL is as follows:
SELECT p.name, r.res_id, py.payment_total, sum(py.payment_total) AS
payment_net
FROM bat_packs p INNER JOIN bat_res r ON p.pack_id = r.pack_id INNER JOIN

It's known that the K-Means clustering algorithm is sensitive to the initiating parameter k.
In K-Means of MS clustering algorithm,the sensitive parameter is CLUSTER_SEED,isn't it?
And is the EM algorithms sensitive as K-Means?
thanks,

I want to know the basic algorithm which is used in Microsoft time series algorithm. And also I need some clarification of the different parameters that we can specify with the basic algorthm (which are in the "set Algorithm Parameters "). I would be thank you if you can send me ...

I'm looking the AdventureWorksDW example and decision tree generated
by the decision three algorithm. I want to know how to discretize in a
countinous attribute Age in distinct groups. I've seen an algorithm
based on entropy that splits in two groups, may be similar testing