Soft Clustering Algorithm

A Soft Clustering Algorithm is a clustering algorithm that can be implemented into a soft clustering system (to solve a soft clustering task.

• AKA: Fuzzy Clustering Algorithm.
• Context:
  • It can be solved by a Soft Clustering System (that implements a Soft Clustering Algorithm).
  • It can range from being a Top-Down Soft Clustering Algorithm to being a Bottom-Up Soft Clustering Algorithm.
• Example(s):
  • Fuzzy c-means Clustering.
• Counter-Example(s):
  • Hard Clustering Algorithm.
• See: More Than One, Cluster.

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References

2014

• http://en.wikipedia.org/wiki/Fuzzy_clustering
  • QUOTE: Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.

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