Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Unsupervised Algorithm

Chapter 233
Encyclopedia of Artificial Intelligence
The true class that an object belongs to is not known to the algorithm hence the algorithm is not supervised by a “teacher”. For example clustering algorithms are unsupervised because each cluster is generated based on the data itself. Although the true class may also be known, it was not used
Published in Chapter:
Visualizing Cancer Databases Using Hybrid Spaces
Julio J. Valdés (National Research Council Canada, Canada) and Alan J. Barton (National Research Council Canada, Canada)
Copyright: © 2009 |Pages: 7
DOI: 10.4018/978-1-59904-849-9.ch233
Abstract
According to the World Health Organization(WHO), the directing and coordinating authority for health within the United Nations system http://www.who.int/ cancer/en/, from a total of 58 million deaths in 2005, cancer accounts for 7.6 million (or 13%) of all deaths worldwide. This places cancer as one of the leading causes of death in the world, with lung cancer (the main cancer leading to mortality) accounting for 1.3 million deaths per year. Thus the importance of understanding the mechanisms of lung cancer is clear. One approach is through the rapid quantification of the gene expression levels of samples of healthy and diseased lung tissue. This new field blending the knowledge from biologists, computer scientists and mathematicians is known as Bioinformatics and is yielding large quantities of data of a very high dimensional nature that needs to be understood.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 14
Applications of Pipelining With ML to Authenticate Emotions in Textual Contents
The goal of unsupervised algorithm is to find the underlying structure of the dataset, group that data according to similarities, and represent that dataset in a compressed format.
Published in Chapter: Applications of Pipelining With ML to Authenticate Emotions in Textual Contents; From: Federated Learning and AI for Healthcare 5.0
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR