This is a preview. Log in through your library . Abstract Recent advances in technology for sampling diving behavior have enabled enormous datasets to be collected on a variety of diving animals.

The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...

A brief introduction to Spark MLlib's APIs for basic statistics, classification, clustering, and collaborative filtering, and what they can do for you You’re not a data scientist. Supposedly according ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

Thesis: On the problem of sequential discrimination. RESEARCH INTERESTS: general methodology, classification, categorical data, zero-inflated distributions, statistical consulting. COURSES TAUGHT: ...