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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Classifier Transformation
  5. Cleanse transformation
  6. Comparison Transformation
  7. Custom Transformation
  8. Custom Transformation Functions
  9. Consolidation Transformation
  10. Data Masking Transformation
  11. Data Masking Examples
  12. Decision Transformation
  13. Dynamic Lookup Cache
  14. Expression Transformation
  15. External Procedure Transformation
  16. Filter Transformation
  17. HTTP Transformation
  18. Identity Resolution Transformation
  19. Java Transformation
  20. Java Transformation API Reference
  21. Java Expressions
  22. Java Transformation Example
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Match Transformation
  29. Match Transformations in Field Analysis
  30. Match Transformations in Identity Analysis
  31. Merge Transformation
  32. Normalizer Transformation
  33. Parse transformation
  34. Rank Transformation
  35. Router Transformation
  36. Rule Specification transformation
  37. Sequence Generator Transformation
  38. Sorter Transformation
  39. Source Qualifier Transformation
  40. SQL Transformation
  41. Using the SQL Transformation in a Mapping
  42. Stored Procedure Transformation
  43. Standardizer Transformation
  44. Transaction Control Transformation
  45. Union Transformation
  46. Unstructured Data Transformation
  47. Update Strategy Transformation
  48. Verifier transformation
  49. Weighted Average Transformation
  50. XML Transformations

Transformation Guide

Transformation Guide

Back Next

Viewing Match Cluster Analysis Data

Viewing Match Cluster Analysis Data

You can view statistical data on the clusters that the transformation can create. The cluster statistics summarize the level of record duplication in the data set based on the current mapping configuration.
To view the data, right-click the Match transformation in the mapping canvas and select
Match Cluster Analysis
.
Before you run the analysis, validate the mapping that contains the transformation.
Match cluster analysis displays data for the following properties:
Property
Description
Source
The number of input data rows.
Last run
The date and time of the analysis.
Total number of discovered clusters
The number of clusters that the match analysis generates when the mapping runs.
Minimum cluster size
The number of records in the cluster or clusters that contain the fewest records. If the minimum cluster size is 1, the data set contains at least one unique record.
Maximum cluster size
The number of records in the cluster or clusters that contain the most records.
If this value greatly exceeds the average cluster size, the largest cluster might contain false duplicates.
Number of unique records
The number of records in the data set that do not match another record with a score that meets the match threshold.
Number of duplicate records
The number of records in the data set that match another record with a score that meets the match threshold.
Total comparisons
The number of comparison operations that the mapping performs.
Average cluster size
The average number of records in a cluster.
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