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Variable Clustering (varclus) R-squared from SAS in R

I am using the varclus function from the Hmisc package in R. Are there ways to produce summary tables from varclus like those in ...
mautumn1's user avatar
0 votes
1 answer
230 views

Find Clusters of Responses in Survey

I have results from a survey: ...
Yolo_chicken's user avatar
1 vote
1 answer
93 views

importance of correlation between data for a PROC CLUSTER

i'm working on a clustering analysis on SAS. I need to improve an actual code : ...
el Josso's user avatar
  • 438
0 votes
1 answer
146 views

Type of transformation needed for Clustering in SAS E-Miner

I'm performing a cluster analysis with a dateset that contain over 100 varibles (after imputing, replacing and eliminating correlated vars ..) Before hiting the clustering, for the transformation ...
Mamoud's user avatar
  • 33
0 votes
0 answers
94 views

"Uniform" Clustering

I have the data $\{(y_i,\omega_i), i=1,\dots,n\}$, where $y_i \in \mathbb{R}_+$ the response and $\omega_i>0$ a weight. Fixed $K>0$ I want to determinate $y_1^*,\dots,y_{K-1}^*$ such that $$ \...
Madara's user avatar
  • 121
2 votes
1 answer
40 views

How do I choose the appropriate numbers of customers to be considered for cluster analysis?

I am currently doing a customer segmentation project in SAS. I have identified 2700 customers who are have made a purchase in each of the 4 years I am analysing. For the cluster analysis the more ...
George's user avatar
  • 143
1 vote
1 answer
944 views

good practice for cluster analysis [closed]

I want to find out what are the best practice in conducting a reliable cluster analysis: Outliers: Is it necessary or not to remove the outliers in the variables to be used for cluster analysis? ...
ziweiguan's user avatar
  • 519
0 votes
1 answer
2k views

Interpreting Cluster Analysis from SAS Enterprise Miner

I am currently doing a text mining project and I conducted a clustering analysis in SAS enterprise miner. I am using the following settings: Anyway, The results look like this, showing me different ...
Keith's user avatar
  • 31
2 votes
2 answers
4k views

What is second eigenvalue?

I am trying to understand Proc Varclus. This page says "2.If the second eigenvalue for the cluster is greater than the specified cutoff, then the inital cluster is split into two clusters." What is ...
Srikanth Guhan's user avatar
1 vote
2 answers
300 views

Does clustering need scalar data?

I am trying to cluster 43,000 individuals on about 50 variables. The data contained in the variables are minutes of a radio shows which people listened to in the range of 0 - 3,000,000 minutes. My ...
vagabond's user avatar
  • 385
1 vote
0 answers
982 views

Strategy for finding cluster solution with positive values for Cubic Clustering Criterion

I am trying to cluster a data set with approximately 3500 entries, consisting primarily of likert-10 scale survey answers. Most of the survey answers are skewed - a typical example is below: I've ...
Lukas Halim's user avatar
3 votes
2 answers
2k views

I've been trying to wrap my head around the use of eigenvalues in cluster analysis. What does it tell me about my clustering behavior?

In a typical hierarchical cluster output from using SAS, the first table given lists all of the eigenvalues. From what I understand, eigenvalues are derived from covariance between the variables. ...
Arun Jose's user avatar
  • 2,123
2 votes
1 answer
2k views

Calculating distances in SAS PROC CLUSTER method=centroid

I'm trying to understand the calculations behind the centroid method of cluster analysis in SAS's PROC CLUSTER. I am able to calculate the reported distances at ...
Jean V. Adams's user avatar
5 votes
2 answers
797 views

Grouping similar subjects based on slopes

I am studying the responses of 500 subjects to temperature increase using a linear regression on each degree of temperature (from 10°C to 28°C). Thus, it was possible for me to compute the intercept ...
user27227's user avatar
0 votes
3 answers
6k views

Clustering mixed variables in SAS

I have following variables in my dataset: Working hours (numerical:ordinal) Effectiveness (categorical:ordinal ; 4 values-> (poor,average,good,best)) Satisfaction (categorical:ordinal ; 4 values-> (...
user2189423's user avatar

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