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 Us Why Udacity? Blog In the News Jobs at Udacity Become a Mentor Partner with Udacity ResourcesCatalog Career Outcomes Help and FAQ Scholarships Resource Center Udacity SchoolsSchool of Artificial Intelligence School of Autonomous Systems School of Business School of Cloud Computing School of Cybersecurity School of Data Science School of Executive Leadership School of Product Management School of Programming and Development Career Resources Featured ProgramsBusiness Analytics SQL AWS Cloud Architect Data Analyst Intro to Programming Digital Marketing Self Driving Car Engineer Only at UdacityArtificial Intelligence Deep Learning Digital Marketing Flying Car and Autonomous Flight Engineer Intro to Self-Driving Cars Machine Learning Engineer Robotics Software Engineer