Online Cluster Prototype Generation for the Gravitational Clustering Algorithm

@inproceedings{LenGuzmn2012OnlineCP,
  title={Online Cluster Prototype Generation for the Gravitational Clustering Algorithm},
  author={Elizabeth Le{\'o}n-Guzm{\'a}n and Jonatan G{\'o}mez and Fabi{\'a}n Giraldo},
  booktitle={IBERAMIA},
  year={2012}
}
Data clustering is a popular data mining technique for discovering the structure of a data set. However, the power of the results depends on the nature of the clusters prototypes generated by the clustering technique. Some cluster algorithms just label the data points producing a prototype for the cluster as the full set of data points belonging to the clusters. Some techniques produce a single ’abstract’ data point as the model for the full cluster losing the information of the shape, size and… 
1 Citations
The Parameter-less Randomized Gravitational Clustering algorithm with online clusters’ structure characterization
TLDR
This paper presents a data clustering algorithm that does not require a parameter setting process [the Parameter-less Randomized Gravitational Clustering algorithm (Pl-Rgc) and combines it with a mechanism, based in micro-clusters ideas, for representing a cluster as a set of prototypes.

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