Self-organizing map with fuzzy class memberships

Sunghwan Sohn; Cihan H. Dagli

doi:10.1117/12.421165

21 March 2001 Self-organizing map with fuzzy class memberships

Sunghwan Sohn, Cihan H. Dagli

Proceedings Volume 4390, Applications and Science of Computational Intelligence IV; (2001) https://doi.org/10.1117/12.421165
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Self-organizing maps SOM can be used as clustering algorithm to discover structure and similarity in data and to capture the descriptive aspect by repeated partitioning and evaluating. It has the ability to represent multidimensional data in topological mapping. If a class label is known, self-organizing map can be also used by a classifier. In this case, each neuron is assigned a class label based on the maximum class frequency and classified by a nearest neighbor strategy. The problem when using this strategy is that each pattern is treated by equal importance in counting class frequency regardless of its typicalness. But, with known class label we can take an advantage of this information by applying fuzzy set theory and assigning the fuzzy class membership into each neuron. In fact, the fuzzy- membership-label neuron gives us insight of the degree of class typicalness and distinguishes itself from a class cluster.

Citation Download Citation

Sunghwan Sohn and Cihan H. Dagli "Self-organizing map with fuzzy class memberships", Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); https://doi.org/10.1117/12.421165

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available