BookmarkSubscribeRSS Feed
yuhhwa
Calcite | Level 5

I am trying to find  clustering method in case of  large data and features.no teacher learning.

until now, I found k-means k-means++, spectral clustering ,minibatch k-means,DBSCAN,x-means,Laten Class Analysis、mixed normal distribution.

①if there are other methods,please let me know.

②I used SAS Enterprise guide, can I use  sas procedure of  k-means++, spectral clustering ,minibatch k-means,DBSCAN ?

2 REPLIES 2
Reeza
Super User

@yuhhwa wrote:

I am trying to find  clustering method in case of  large data and features.no teacher learning.

until now, I found k-means k-means++, spectral clustering ,minibatch k-means,DBSCAN,x-means,Laten Class Analysis、mixed normal distribution.

①if there are other methods,please let me know.

②I used SAS Enterprise guide, can I use  sas procedure of  k-means++, spectral clustering ,minibatch k-means,DBSCAN ?


 

What you can do depends on your license. You can check with:

proc product_status;run;

You're looking for SAS/STAT, SAS/ETS (spectral I think), SAS/High Performance Suite

yuhhwa
Calcite | Level 5

Dear Reeza

thank you for replying.

 

SAS version is below.

----------------------------------------------------------

product:SAS Base 9.4 TS level1 M3

 

product:SAS Enterprise guide 7.1

-----------------------------------------------------------

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 2 replies
  • 808 views
  • 0 likes
  • 2 in conversation