|
Some got through: Latest Messages[^]
Bad command or file name. Bad, bad command! Sit! Stay! Staaaay...
AntiTwitter: @DalekDave is now a follower!
|
|
|
|
|
|
|
|
Last time I saw it in the pending queue it had 18 votes, so I assumed most of them were for either Very Poor, or Incomplete. It seems the majority must have been Approve.
|
|
|
|
|
Mine was definitively for "extremly poor", but as he is "lead in IT company" might have some minions giving him support
M.D.V.
If something has a solution... Why do we have to worry about?. If it has no solution... For what reason do we have to worry about?
Help me to understand what I'm saying, and I'll explain it better to you
Rating helpful answers is nice, but saying thanks can be even nicer.
|
|
|
|
|
.
"I'm neither for nor against, on the contrary." John Middle
|
|
|
|
|
|
|
hmmm ... what a list
Bryian Tan
|
|
|
|
|
|
|
|
One got through: Latest Messages[^]
Bad command or file name. Bad, bad command! Sit! Stay! Staaaay...
AntiTwitter: @DalekDave is now a follower!
|
|
|
|
|
This: C# using k-means algorithm for text clustering.[^]
From this: Denis Pashkov - Professional Profile[^]
He links to this site at the bottom: Introduction to K-means Clustering[^] But only as
Quote: There is a really nice article Introduction to K-means Clustering which explains in a more detailed way how the algorithm works.
If you search both for Quote: K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data (i.e., data without defined categories or groups). The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K. And the following paragraph looks like a copy'n'tweak from the number list as well.
Bad command or file name. Bad, bad command! Sit! Stay! Staaaay...
AntiTwitter: @DalekDave is now a follower!
|
|
|
|