Data Analysis
Univariate analysis .............................................................................................................................................................................................................................................................................................................................................................. 2
Continuous Random Variable ................................................................................................................................................................................................................................................................................ 2
Discrete Random Variable ............................................................................................................................................................................................................................................................................................ 2
Random Sample ........................................................................................................................................................................................................................................................................................................................................................ 3
Parametric Estimation ............................................................................................................................................................................................................................................................................................................................ 3
Multivariate Analysis .....................................................................................................................................................................................................................................................................................................................................................5
Principal Component Analysis ...........................................................................................................................................................................................................................................................................................5
Cluster Analysis ............................................................................................................................................................................................................................................................................................................................................................. 6
One) Accessing cluster tendency (cluster validation technic): .................................................................................................................. 6
Two) Dissimilarity Matrix .................................................................................................................................................................................................................................................................................................. 6
Continuous ...................................................................................................................................................................................................................................................................................................................................................... 6
Categorical ...................................................................................................................................................................................................................................................................................................................................................... 6
Binary ............................................................................................................................................................................................................................................................................................................................................................................. 6
Mixed .............................................................................................................................................................................................................................................................................................................................................................................. 6
Three) Choosing k (cluster validation): ................................................................................................................................................................................................................................... 7
Four / one) Hierarchical clustering .................................................................................................................................................................................................................................................... 7
Four / two ) Partitioning k-means clustering ................................................................................................................................................................................................... 8
Four / three) Partitioning k-medoids clustering ...................................................................................................................................................................................... 8
Four / four) Model-based Clustering .......................................................................................................................................................................................................................................... 8
Five) Cluster validation ........................................................................................................................................................................................................................................................................................................... 9
Six) Choosing best algorithm .............................................................................................................................................................................................................................................................................. 9
