"Anindo can you please share what you did"
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ANINDO CHAKRABORTY
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ANINDO CHAKRABORTY's Discussions
Clustering with non numeric data
31 Replies
Started this discussion. Last reply by ratheen chaturvedi Feb 26.
ANINDO CHAKRABORTY's Page
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ANINDO CHAKRABORTY replied to Biswajit Pal's discussion How to reduce high concordance (more than 85) in logistic regression model?
"From my experience I don't know why a high concordance would not be recommended. On the contrary - it is a indicator that the model you built is a good one!"
Tom Peters replied to ANINDO CHAKRABORTY's discussion Clustering with non numeric data
"Thx Ralph. I am new to SAS, so I will look into this."
Ralph Winters replied to ANINDO CHAKRABORTY's discussion Clustering with non numeric data
"Tom, I have had the same situation when using Proc LCA for latent class analysis. What I usually do is run a data step before, and manually recode into binaries. If you know SAS macros, that helps.
-Ralph Winters"
Tom Peters replied to ANINDO CHAKRABORTY's discussion Clustering with non numeric data
"Hi, I realize this thread has been running for some time, but I am new to ABridge. I have uses Multiple Correspondence Analysis and then Hierarchical clustering on the dimensions scores using SPAD software, as mentioned earlier by some one else. In…"
Tom Peters replied to ANINDO CHAKRABORTY's discussion Clustering with non numeric data
"Vinay, you should dump out the cluster ID by record and then run a serious of focused crosstabs. That is the only way..."
Hariharan Sunder replied to ANINDO CHAKRABORTY's discussion Clustering with non numeric data
"Hi Vinay,
I also doing similar kind of clustering...but the problem Iam facing is that I have around 500K rows. Proc cluster cannot handle such large datasets and another question is how to interpret the clusters from the output??
Regards,
Hari"
ss replied to ANINDO CHAKRABORTY's discussion Clustering with non numeric data
"hi sir
im doing phd in document clustering. can u give me some ideas reg that"
Profile Information
- Short Bio:
- 9 & 1/2 yrs analytics professional with experience in SAS, Predictive modeling, Developing Classifiers, Analytics Insights.
I began with GE Money working as a risk analyst for credit cards. In this position I built several predictive models making good use out of the logistic regression technique. I also built many segmentation models using CHAID and CART for risk management strategies. I moved out of GE Money after 6 years as a Business Manager in the portfolio risk team. My primary tool was SAS.
I joined a very well renowned retailer in their Analytics team. Here I am a Business Manager leading analytics team for stores, merchandising, finance etc. I have gained more experience in segmentation and modeling techniques for different aspects of retail. I am currently trying to work on some forecasting methods viz. ARIMA. Here too my primary tool is SAS.
My favorite area is classical regression methods. Although there are not many areas where this cannot be used, there are several developments in this field which I try to explore. I am in the process of gaining expertise in forecasting systems.
- Field of Expertise:
- Business Analytics, Predictive Modeling, Data Mining, Econometrics, Statistical Programming, Statistical Consulting, Finance
- Years of Experience in Analytical Role:
- 9.5
- Professional Status:
- Manager
- Interests:
- Finding a New Position, Networking, Recruiting
- Your Company:
- Target
- Industry:
- Retail
Comment Wall (1 comment)
- At 3:02pm on June 28, 2009,
Bruno M said… - Hi Anindo, I wonder how this project is going? I am relatively new to all of this, and the discussions on this site have been invaluable. I wonder if the tools I suggested (I linked to a list of open source data mining tools, KNIME, Orange (AI Labs), Weka, RapidMinder) have been helpful at all, or whether maybe I was way off on recommending them in the first place (if so i apologize!). Best Regards, Bruno
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