Nearest neighbour classification techniques, particularly the k‐nearest neighbour (kNN) algorithm, have long been valued for their simplicity and effectiveness in pattern recognition and data ...

(1) The application of hierarchical classification to ecological community data is examined, using a variety of classification techniques and test data sets. Problems discussed include: (a) the choice ...

A general framework is presented for data analysis of latent finite partially ordered classification models. When the latent models are complex, data analytic validation of model fits and of the ...

Data Through Design is an annual alternative cartography and art exhibition held during New York City’s Open Data Week, an endeavor of the Mayor’s Office of Data Analytics. The objective of the ...

DA has become popular as big data problems have emerged in biological science, engineering, business, and other fields. There are many techniques that have been developed in data analytics. In this ...

The Enterprise Classification System combines best practice in user-centric and automated data classification techniques to deliver a best fit solution for businesses.