Comparative analysis of dimensionality reduction algorithms, case study: PCA

@article{Agarwal2017ComparativeAO,
  title={Comparative analysis of dimensionality reduction algorithms, case study: PCA},
  author={Sugandha Agarwal and Priya Ranjan and A. Ujlayan},
  journal={2017 11th International Conference on Intelligent Systems and Control (ISCO)},
  year={2017},
  pages={255-259}
}
On the basis of the evaluation of local properties of the data many nonlinear techniques have been suggested the field of computer vision. The application of the dimensionality reduction covers many fields like medical, geographical, simulation and many more. I have studied MDS, LLE and LTSA. Overall, the users are allowed to access the search-tools in… CONTINUE READING