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Data Analytics- Part 2
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49. Unstructured Algorithm
Basics to see here on how to – find underlying factors or reduce the Dimensions using below techniques· Factor Analysis – FA· Recommendation Engine· Principal component Analysis - PCA· Singular Value decomposition – SVD· Eigenvalue decomposition – EVD· Clustering Methods§ K – Means clustering§ Hierarchy clustering§ DB Scan§ OPTICS50. Factor Analysis – FA
· FA is about to Pull out or explain hidden factors or underlying factors in their relationship of variables· The information received from these hidden factors can be used to reduce the number of set of variables· These number of factors are determined using Scree-plot.· There are a number of rotations: -§ Varimax§ Quartimax· FA looks for the correlation values· Factors that have similar overloading can be grouped into cluster51. Principal Component Analysis
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