Unsupervised Learning Algorithm

The Kohonen SOM falls into the category of unsuper-vised learning method, in which the relevant multivariate algorithms seek clusters in the data. The SOM was proposed by Kohonen in the early 1980s (1982, 1984). Since that time, the SOM has been used in a number of different applications in diverse field and it has been the most well-known ANN with unsupervised learning rules. The algorithm performs a topology-preserving projection of the data space onto a regular low-dimensional space (usually a two-dimensional space) and can be used to effectively visualize clusters. It is widely applicable to the fields of data mining, data classification, and biological modeling in terms of a nonlinear projection of multivariate data into lower dimensions.

Was this article helpful?

0 0
Oplan Termites

Oplan Termites

You Might Start Missing Your Termites After Kickin'em Out. After All, They Have Been Your Roommates For Quite A While. Enraged With How The Termites Have Eaten Up Your Antique Furniture? Can't Wait To Have Them Exterminated Completely From The Face Of The Earth? Fret Not. We Will Tell You How To Get Rid Of Them From Your House At Least. If Not From The Face The Earth.

Get My Free Ebook

Post a comment