PART 2 : DA

 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

§  OPTICS

50. 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 cluster

 51. Principal Component Analysis