The Algorithm Expansion for Starting Point Determination Using Clustering Algorithm Method with Fuzzy C-Means

@inproceedings{Hadinata2016TheAE,
  title={The Algorithm Expansion for Starting Point Determination Using Clustering Algorithm Method with Fuzzy C-Means},
  author={Edrian Hadinata and Rahmat Widia Sembiring and Tien Fabrianti Kusumasari and Tutut Herawan},
  booktitle={SCDM},
  year={2016}
}
The starting point determination in Fuzzy C-Means algorithm (FCM) is taken by random. Thus, the algorithm for starting point determination was developed with Hierarchical Agglomerative Clustering approach as a substitution of membership degree randomization process in the early iteration. It is expected that the clustering process will produce fewer iteration. The process contained on this algorithm is the incorporation of a number of clusters based on the approach contained in complete linkage… CONTINUE READING