self-organizing map
machine learning technique useful for dimensionality reduction
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self-organizing map
Summary
self-organizing map is a data clustering algorithm[1]. It has Wikipedia articles in 18 language editions, a strong signal of global cultural recognition.[2]
Key Facts
- self-organizing map is credited with the discovery of Teuvo Kohonen[3].
- self-organizing map's instance of is recorded as data clustering algorithm[4].
- self-organizing map is a type of artificial neural network[5].
- self-organizing map is a type of Kohonen neural network[6].
- self-organizing map's Commons category is recorded as Self-organizing maps[7].
- self-organizing map's uses is recorded as unsupervised learning[8].
Body
Works and Contributions
self-organizing map is credited with the discovery of Teuvo Kohonen[3]. Things named for it include GeoSOM Suite[9], a software[10].
Why It Matters
self-organizing map has Wikipedia articles in 18 language editions, a strong signal of global cultural recognition.[2] It is known by 37 alternative names across languages and contexts.[11]
Entities named for it include GeoSOM Suite[9], a software[10].