A self-organizing map (SOM) is a type of artificial neural network that is trained using unsupervised learning to produce a map reprensenting the input space of the training samples.
I'm trying to cluster some images depending on the angles between body parts. The features extracted from each image are: …
matlab cluster-analysis machine-learning somOnce I have collected and organized data in a SOM how do I identify clusters? (Items are aggregated and clustered …
cluster-analysis somI am trying to perform test summarize using self organizing map (SOM) as the clustering model. Do we have any …
python cluster-analysis somI'm looking for a C, C++ or Java based SOM implementation with licensing applicable for commercial use (non-zero cost is …
c++ c som self-organizing-mapsHow exactly is an U-matrix constructed in order to visualise a self-organizing-map? More specifically, suppose that I have an output …
machine-learning neural-network som self-organizing-mapsSo I am being stumped by something that (should) be simple: I have written a SOM for a simple 'play' …
machine-learning neural-network normalization som self-organizing-mapsI have been doing reading about Self Organizing Maps, and I understand the Algorithm(I think), however something still eludes …
machine-learning neural-network somI have an input data in Excel which has 2000 rows and 60 columns. I want to read this data into MATLAB …
matlab som