title: Self Organizing maps Vs k-means
body: <p>Does anyone know how well does Self Organizing Maps(SOM) compare to k-means? I believe usually in the color space,such as RGB, SOM is a better method to cluster colors together as there is overlap in the color space between visually different colors (<a href="http://www.ai-junkie.com/ann/som/som1.html" rel="noreferrer">http://www.ai-junkie.com/ann/som/som1.html</a>). Are there cases where k-means outperforms SOM?</p>
  
  <p>Thanks!</p>