Interpretability of configuration. A second criterion for deciding how many dimensions to interpret is the clarity of the final configuration.
Interpretability
A Decision Tree generates rules that states facts in business terms : it is interpretable.
interpretability and usability.
Problems
There are a number of problems with clustering. Among them:
current clustering techniques do not address all the requirements adequately (and concurrently); ...
Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems, 8(2), 212-221, 2000
^ Zhou, R. W., & Quek, C. (1996).
For example, the running time could be such a metric, or the interpretability of instructions, or the number of tuning parameters that must be chosen by the user at run-time.
Minimal requirements for domain knowledge to determine input parameters
Ability to deal with noisy data
Incremental clustering and insensitivity to the order of input records:
High dimensionality
Constraint-based clustering
Interpretability and ...
 See also: Regression, Data mining, Distribution, Complexity, Cluster analysis
  
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