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Hadoop >> mail # user >> Re: Difference between clustering and classification in hadoop


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Re: Difference between clustering and classification in hadoop
Thanks Devin :) That was a nice explanation.
On Fri, Nov 22, 2013 at 6:20 PM, Devin Suiter RDX <[EMAIL PROTECTED]> 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 <[EMAIL PROTECTED]>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*
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB