Dimensionality Reduction_ A Clustering Approach

							Dimensionality Reduction: A Clustering Approach
Abstract:
1 Introduction
Data analysis, pre-processing

2 Literature Review
Feature extraction, dimensionality reduction, etc.

3 The Clustering Approach
3.1 Evaluation criteria
EI and PCE

3.2 Dimensionality Reduction
p-codes

4 Parameter Ranking Methods
4.1 PCA

4.2 Mean-to-variance ratio

4.3 R-square between
4.4 O/P

4.5 Correlated variance

5 Case Studies
5.1 Seamless tuning processes

5.2 Credit card data sets

5.3 Hungarian heart disease

6 Conclusion
Reference