MachineLearning & AI

Decision Tress are also called as Objective Segmentation. Decision Tree vs Logistic Regression Segmentation  all nodes are same Logistic regression Each account is given a score, ranking among them and so more granular  

Clusters Homogenous within Heterogeneous across Based on field of interest There is no Objective function No dependent variable Popularly called subjective segmentation Segmentation develops on its own based on values of the input variables This is called Unsupervised learning How is Cluster different from decision tree techniques Decision tree technique requires a clearly defined objective funtion this is based on identifying independent and dependent variables. Why clustering Find groups which has elements similar to other groups elements of different groups are dissimilar to each other Generate treatment for specific group  Examples/Business Scenarios In Marketing Leading edge shoppers - looking for technological new products Big brand shoppers Seasonal shoppers Value conscious shoppers Fashion consumer groups Group driven by trends Group interested in Fashion Group purchasing when necessary Cluster analysis as part of business strategy...