Welcome to the home page of the Classification Society of North America (CSNA). The CSNA is a nonprofit interdisciplinary organization whose purposes are to promote the scientific study of classification and clustering (including systematic methods of creating classifications from data), and to disseminate scientific and educational information related to its fields of interests.
This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran's book "Programming Collective Intelligence." The book has python implementations; this is a Java implementation.
The aim of the International Journal of Advances in Internet of Things is to provide a forum for scientists and social workers to present and discuss issues in the impact of the Internet to the society and disseminate findings in scientific research on related subjects.
The Cataloger's Reference Shelf is based on 21 MARC manuals and other reference works published by The Library of Congress and frequently accessed by technical services staff. A must see for catalogers!
Database of animal natural history, distribution, classification, and conservation biology. Contains species accounts about individual animal species and descriptions of levels of organization above the species level, especially phyla, classes, and in some cases, orders and families.
Provides taxonomic, conservation status and distribution information on plants and animals that are extinct, at risk of extinction, or near threatened.
In this post you will see 5 recipes of supervised classification algorithms applied to small standard datasets that are provided with the scikit-learn library.