Thanks Devin :) That was a nice explanation.
On Fri, Nov 22, 2013 at 6:20 PM, Devin Suiter RDX <dsui...@rdx.com> wrote: > They are both for machine learning. Classification is known as "supervised > learning" where you feed the engine data of known patterns and instruct it > what are the key nodes. Clustering is "unsupervised learning" where you > allow the algorithm to "guess" at what is significant in the correlations > picked up by the algorithm. Spam filtering is a popular example of > classification, and image indexing is a popular example of clustering. It > is mainly used on Hadoop because when it comes to machine learning, the > more data that passes through the algorithm the more accurate it should be, > and Hadoop can handle large data better than anything else around at the > moment. > > *Devin Suiter* > Jr. Data Solutions Software Engineer > 100 Sandusky Street | 2nd Floor | Pittsburgh, PA 15212 > Google Voice: 412-256-8556 | www.rdx.com > > > On Fri, Nov 22, 2013 at 2:54 AM, unmesha sreeveni > <unmeshab...@gmail.com>wrote: > >> what is the differences b/w classification algorithms and clustering >> algorithms in hadoop? >> >> >> -- >> *Thanks & Regards* >> >> Unmesha Sreeveni U.B >> >> *Junior Developer* >> >> >> > -- *Thanks & Regards* Unmesha Sreeveni U.B *Junior Developer*
