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[DOC File]An Application of Cluster Analysis in the Financial ...
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There are two basic types of cluster analysis, 1) Agglomerative Hierarchical (PROC CLUSTER in SAS()and 2) Disjoint or Euclidean Distance (PROC FASTCLUS). Agglomerative Hierarchical Clustering takes each observation and places it in it’s own cluster. Next the two closest clusters are combined. This continues until there is only one cluster left.
sas proc cluster example

[DOC File]9
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This options is used here so that the actual calculations done in PROC CLUSTER can be easily shown in PROC IML later. “Normalizing” the distances does not affect the analysis. OUTTREE=_____ tells SAS to put information into a data set that can be used by PROC TREE to produce a hierarchical tree diagram.
sas 9.4 proc import options

[DOC File]SAS Usage Note 24497: Can I get adjusted or least-squares ...
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SAS’s PROC SURVEYREG is a very useful procedure, but does not have an LSMEANS option that directly provides point estimates of adjusted means and their associated SE’s adjusted for clustering. PROC SURVEYREG with an ESTIMATE or CONTRAST statement and right parameterization can produce key contrasts and even adjusted means and their SE’s ...
cluster analysis sas example

[DOCX File]PiratePanel
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The variables used in the cluster analysis were all standardized to mean 0, standard deviation 1. The FASTCLUS Procedure Replace=FULL Radius=0 Maxclusters=4 Maxiter=100 Converge=0.02
proc tree

[DOC File]Procrustes distance
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OUTPUT: Distances are printed to the SAS output window and stored in the dataset “cluster.” If PROC CLUSTER and TREE are used, a phenogram is also printed in the output. References: Harvati, K., Frost, S.R., & McNulty, K.P. (2004).
sas proc fastclus examples

[DOC File]SAS Data Quality – Cleanse: Techniques for Merge/Purge on ...
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SAS® Data Quality – Cleanse: Techniques for Merge/Purge. on Very Large Datasets ... Except for an extra proc sort (which ran quickly enough on our system), the enormous time savings was almost cost free – the Perl parsing functions we created to recognize common street address patterns (11 MAIN STREET, 67 E 33 ST) and render the tokens ...
hierarchical clustering sas

MODULE THREE, PART TWO: PANEL DATA ANALYSIS
Although SAS does not allow the CLUSTER option, there is a VCOMP option that specifies the type of variance component estimate to use. For balanced data, the default is VCOMP=FB. However, the FB method does not always obtain nonnegative estimates for the cross section (or group) variance.
list of sas procs

[DOC File]Cluster Analysis Example:
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SAS program (in blue) and output (in black) interleaved with comments (in red) Title Cluster Analysis for Hypothetical Data; data. t; input cid $ 1-2. income educ; cards; c1 5 5. c2 6 6. c3 15 14. c4 16 15. c5 25 20. c6 30 19. run; proc. cluster. simple noeigen method=centroid rmsstd rsquare nonorm out=tree; id cid; var income educ; run; The ...
cluster analysis sas

[DOC File]User Guide to Statistical Analyses
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Close the file before attempting to run the SAS program that uses it. Note that the SAS code below assumes that the data is saved in Microsoft Excel v. 4.0 format and will look for a data file that is saved in that format, complete with the appropriate extension. An example of SAS code for the cluster analysis is: PROC IMPORT OUT= WORK.liztest
sas proc cluster example

Proc cluster sas