**7. Conclusion**

This book chapter on "Evaluation of PCA Variants to assess their suitability for Mobile Malware Detection" describes briefly the concept of PCA, the common

*Evaluation of Principal Component Analysis Variants to Assess Their Suitability… DOI: http://dx.doi.org/10.5772/intechopen.105418*

terminologies involved in PCA, PCs in PCA, mathematical properties of PCA, steps involved in PCA algorithm, explanation about the process of developing the PCA model in a machine learning perspective, applications of PCA, advantages and limitations of PCA. Different variants of PCA are experimented with a small case study by exploring the various type of PCA. This helps to find out the suitable variant of PCA for mobile malware detection in the CICMalDroid\_2020 dataset based on the machine learning framework. As an outcome, for the given dataset, the normal standard PCA provides the appropriate results for the PCs to discover the malware data points accurately. Thus, this chapter will be a ready reckoner for the learners to know about the concept of PCA in machine learning, and its variants suitable for mobile malware detection are discussed in detail.
