From: | Akansha Singh <akansha(dot)singh(at)oracle(dot)com> |
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To: | Pgsql-Students <pgsql-students(at)postgresql(dot)org> |
Subject: | : Fuzzy C means algorithms in MAdlib |
Date: | 2013-04-27 10:36:34 |
Message-ID: | b570939e-62dc-4cf7-9529-dba205417c8c@default |
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Lists: | pgsql-students |
HI
I would like to know can this algorithm be implemented on MAdlIB
In the K-means algorithm, each vector is classified as belonging to a single cluster (hard clustering), and the centroids are updated based on the classified samples. In a variation of this approach known as fuzzy c-means, all vectors have a degree of membership for each cluster, and the respective centroids are calculated based on these membership degrees.
Whereas the K-means algorithm computes the average of the vectors in a cluster as the center, fuzzy c-means finds the center as a weighted average of all points, using the membership probabilities for each point as weights. Vectors with a high probability of belonging to the class have larger weights, and more influence on the centroid.
Regards
Akansha Singh
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