Object Orie’d Data Analysis, Last Time •Clustering –Quantify with Cluster Index –Simple 1-d examples –Local mininizers –Impact of outliers •SigClust –When.
Object Orie’d Data Analysis, Last Time Classical Discrimination (aka Classification) –FLD & GLR very attractive –MD never better, sometimes worse HDLSS.
Object Orie’d Data Analysis, Last Time OODA in Image Analysis –Landmarks, Boundary Rep ’ ns, Medial Rep ’ ns Mildly Non-Euclidean Spaces –M-rep data on.
Object Orie’d Data Analysis, Last Time HDLSS Discrimination –MD much better Maximal Data Piling –HDLSS space is a strange place Kernel Embedding –Embed.
Object Orie’d Data Analysis, Last Time Gene Cell Cycle Data Microarrays and HDLSS visualization DWD bias adjustment NCI 60 Data Today: More NCI 60 Data.
Object Orie’d Data Analysis, Last Time Distance Weighted Discrimination: Revisit microarray data Face Data Outcomes Data Simulation Comparison.
Object Orie’d Data Analysis, Last Time
Object Orie’d Data Analysis, Last Time Organizational Matters .
Object Orie’d Data Analysis, Last Time Cornea Data & Robust PCA –Elliptical PCA Big Picture PCA –Optimization View –Gaussian Likelihood View –Correlation.
Object Orie’d Data Analysis, Last Time Classification / Discrimination Classical Statistical Viewpoint –FLD “good” –GLR “better” –Conclude always do GLR.