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Posted to dev@mahout.apache.org by "Hiroaki Kubota (JIRA)" <ji...@apache.org> on 2012/09/12 07:14:07 UTC
[jira] [Created] (MAHOUT-1066) How to generate sparsed Vectors from
the specified dictionary.
Hiroaki Kubota created MAHOUT-1066:
--------------------------------------
Summary: How to generate sparsed Vectors from the specified dictionary.
Key: MAHOUT-1066
URL: https://issues.apache.org/jira/browse/MAHOUT-1066
Project: Mahout
Issue Type: Question
Components: Clustering
Affects Versions: 0.7
Reporter: Hiroaki Kubota
I'd like to do clustering our natural language data.
The first, I used the 'seq2sparse' command to vectorize our data.
I got sparsed vectors and a dictionary.
And we could do k-means and got suitable clusters.
It was OK.
The next, I'd like to add some data to previous calculated clusters.
So I want to get additional vectors from new additional data based on previous dictionary.
Probably I think,
It is impossible to get really accurate vectors by using only additional data.
However,I'd like to reduce processing time so It's OK if I get the vector that is useful for decision tree.
Please give me advice !
Regard,
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[jira] [Reopened] (MAHOUT-1066) How to generate sparsed Vectors
from the specified dictionary.
Posted by "Paritosh Ranjan (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-1066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Paritosh Ranjan reopened MAHOUT-1066:
-------------------------------------
Ah, I was unaware of the Jira Type "Question". Reopening it. Apologies for marking it invalid.
> How to generate sparsed Vectors from the specified dictionary.
> --------------------------------------------------------------
>
> Key: MAHOUT-1066
> URL: https://issues.apache.org/jira/browse/MAHOUT-1066
> Project: Mahout
> Issue Type: Question
> Components: Clustering
> Affects Versions: 0.7
> Reporter: Hiroaki Kubota
> Assignee: Paritosh Ranjan
> Fix For: 0.8
>
>
> I'd like to do clustering our natural language data.
> The first, I used the 'seq2sparse' command to vectorize our data.
> I got sparsed vectors and a dictionary.
> And we could do k-means and got suitable clusters.
> It was OK.
> The next, I'd like to add some data to previous calculated clusters.
> So I want to get additional vectors from new additional data based on previous dictionary.
> Probably I think,
> It is impossible to get really accurate vectors by using only additional data.
> However,I'd like to reduce processing time so It's OK if I get the vector that is useful for decision tree.
> Please give me advice !
> Regard,
--
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[jira] [Resolved] (MAHOUT-1066) How to generate sparsed Vectors
from the specified dictionary.
Posted by "Paritosh Ranjan (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-1066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Paritosh Ranjan resolved MAHOUT-1066.
-------------------------------------
Resolution: Invalid
Fix Version/s: 0.8
This is a question and should be asked on the users mailing list. A jira is not required for this.
> How to generate sparsed Vectors from the specified dictionary.
> --------------------------------------------------------------
>
> Key: MAHOUT-1066
> URL: https://issues.apache.org/jira/browse/MAHOUT-1066
> Project: Mahout
> Issue Type: Question
> Components: Clustering
> Affects Versions: 0.7
> Reporter: Hiroaki Kubota
> Assignee: Paritosh Ranjan
> Fix For: 0.8
>
>
> I'd like to do clustering our natural language data.
> The first, I used the 'seq2sparse' command to vectorize our data.
> I got sparsed vectors and a dictionary.
> And we could do k-means and got suitable clusters.
> It was OK.
> The next, I'd like to add some data to previous calculated clusters.
> So I want to get additional vectors from new additional data based on previous dictionary.
> Probably I think,
> It is impossible to get really accurate vectors by using only additional data.
> However,I'd like to reduce processing time so It's OK if I get the vector that is useful for decision tree.
> Please give me advice !
> Regard,
--
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[jira] [Updated] (MAHOUT-1066) How to generate sparsed Vectors from
the specified dictionary.
Posted by "Paritosh Ranjan (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-1066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Paritosh Ranjan updated MAHOUT-1066:
------------------------------------
Assignee: (was: Paritosh Ranjan)
> How to generate sparsed Vectors from the specified dictionary.
> --------------------------------------------------------------
>
> Key: MAHOUT-1066
> URL: https://issues.apache.org/jira/browse/MAHOUT-1066
> Project: Mahout
> Issue Type: Question
> Components: Clustering
> Affects Versions: 0.7
> Reporter: Hiroaki Kubota
> Fix For: 0.8
>
>
> I'd like to do clustering our natural language data.
> The first, I used the 'seq2sparse' command to vectorize our data.
> I got sparsed vectors and a dictionary.
> And we could do k-means and got suitable clusters.
> It was OK.
> The next, I'd like to add some data to previous calculated clusters.
> So I want to get additional vectors from new additional data based on previous dictionary.
> Probably I think,
> It is impossible to get really accurate vectors by using only additional data.
> However,I'd like to reduce processing time so It's OK if I get the vector that is useful for decision tree.
> Please give me advice !
> Regard,
--
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[jira] [Assigned] (MAHOUT-1066) How to generate sparsed Vectors
from the specified dictionary.
Posted by "Paritosh Ranjan (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-1066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Paritosh Ranjan reassigned MAHOUT-1066:
---------------------------------------
Assignee: Paritosh Ranjan
> How to generate sparsed Vectors from the specified dictionary.
> --------------------------------------------------------------
>
> Key: MAHOUT-1066
> URL: https://issues.apache.org/jira/browse/MAHOUT-1066
> Project: Mahout
> Issue Type: Question
> Components: Clustering
> Affects Versions: 0.7
> Reporter: Hiroaki Kubota
> Assignee: Paritosh Ranjan
>
> I'd like to do clustering our natural language data.
> The first, I used the 'seq2sparse' command to vectorize our data.
> I got sparsed vectors and a dictionary.
> And we could do k-means and got suitable clusters.
> It was OK.
> The next, I'd like to add some data to previous calculated clusters.
> So I want to get additional vectors from new additional data based on previous dictionary.
> Probably I think,
> It is impossible to get really accurate vectors by using only additional data.
> However,I'd like to reduce processing time so It's OK if I get the vector that is useful for decision tree.
> Please give me advice !
> Regard,
--
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[jira] [Commented] (MAHOUT-1066) How to generate sparsed Vectors
from the specified dictionary.
Posted by "Matt Molek (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-1066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13481441#comment-13481441 ]
Matt Molek commented on MAHOUT-1066:
------------------------------------
There is an old feature request for this. It looks like there was some progress on it, but I'm not sure what ever became of it: https://issues.apache.org/jira/browse/MAHOUT-521
> How to generate sparsed Vectors from the specified dictionary.
> --------------------------------------------------------------
>
> Key: MAHOUT-1066
> URL: https://issues.apache.org/jira/browse/MAHOUT-1066
> Project: Mahout
> Issue Type: Question
> Components: Clustering
> Affects Versions: 0.7
> Reporter: Hiroaki Kubota
> Assignee: Paritosh Ranjan
> Fix For: 0.8
>
>
> I'd like to do clustering our natural language data.
> The first, I used the 'seq2sparse' command to vectorize our data.
> I got sparsed vectors and a dictionary.
> And we could do k-means and got suitable clusters.
> It was OK.
> The next, I'd like to add some data to previous calculated clusters.
> So I want to get additional vectors from new additional data based on previous dictionary.
> Probably I think,
> It is impossible to get really accurate vectors by using only additional data.
> However,I'd like to reduce processing time so It's OK if I get the vector that is useful for decision tree.
> Please give me advice !
> Regard,
--
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