The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
LSA algorithm
siamak_want
Member Posts: 98 
Contributor II
Hi,
I want to use LSA algorithm (Latent Semantic Indexing) on my high dimensional text data as a Dimensionality reduction phase. RM has an LSA operator (originally from weka) which is named as "W_LatetntSemanticIndexing". but it is located in "Attribute Weighting" group. Now, I want to know the difference of this operator with the standard LSA algorithm. I mean is it possible for me to use this operator as an standard LSA operator? If the answer is positive (I wish...), please explain how should I use "W_LatetntSemanticIndexing" as a standard LSA algorithm for reducing the number of my features...
Any idea, will be greatly appreciated.
I want to use LSA algorithm (Latent Semantic Indexing) on my high dimensional text data as a Dimensionality reduction phase. RM has an LSA operator (originally from weka) which is named as "W_LatetntSemanticIndexing". but it is located in "Attribute Weighting" group. Now, I want to know the difference of this operator with the standard LSA algorithm. I mean is it possible for me to use this operator as an standard LSA operator? If the answer is positive (I wish...), please explain how should I use "W_LatetntSemanticIndexing" as a standard LSA algorithm for reducing the number of my features...
Any idea, will be greatly appreciated.
0
