Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Anybody used Neural Network approaches for clustering data? Particularly
How are they as compared to k-means or any other distance based clustering Algorithms?
Self-organizing maps (SOMs) have some internal similarities with K-Means, but also important differences. A SOM actually maps your data from the original data space (usually high-dimensional) onto the map space (usually two-dimensional), while trying to preserve the original data densities and neighborhood relationships. It won’t give you directly the clustering, but may help you to visually inspect the data and recognize clusters.
I know too little about ART nets.