Segmentation and Clustering Segmentation FundamentalsUnderstand the difference between localization, standardization, and segmentationPreparing Data for ClusteringScale data to prepare a dataset for cluster modeling. Select variables to include based on the business context.Variable ReductionUse principal components analysis (PCA) to reduce the number of variables for cluster modelClustering ModelsSelect the appropriate number of clusters. Build and apply a k-centroid cluster model.Validating and Applying ClustersValidate the results of a cluster model. Visualize and communicate the results of a cluster model.CompanyAbout UsWhy Udacity?BlogIn the NewsJobs at UdacityBecome a MentorPartner with UdacityResourcesCatalogCareer OutcomesHelp and FAQScholarshipsResource CenterFeatured ProgramsBusiness AnalyticsSQLAWS Cloud ArchitectData AnalystIntro to ProgrammingDigital MarketingSelf Driving Car EngineerOnly at UdacityArtificial IntelligenceDeep LearningDigital MarketingFlying Car and Autonomous Flight EngineerIntro to Self-Driving CarsMachine Learning EngineerRobotics Software EngineerAI Master’sMaster of Business AdministrationMaster of Science in AIUdacity SchoolsSchool of Animation and Game DevelopmentSchool of Artificial IntelligenceSchool of Autonomous SystemsSchool of BusinessCareer ResourcesSchool of Cloud ComputingSchool of CybersecuritySchool of Data ScienceSchool of DevOpsSchool of Executive LeadershipSchool of Product ManagementSchool of Programming and Development