Conceptual Clustering with Numeric-and-Nominal Mixed Data | A New Similarity Based System

@inproceedings{Li1998ConceptualCW,
  title={Conceptual Clustering with Numeric-and-Nominal Mixed Data | A New Similarity Based System},
  author={Cen Li},
  year={1998}
}
This paper presents a new Similarity Based Agglomerative Clustering(SBAC) algorithm that works well for data with mixed numeric and nominal features. A similarity measure, proposed by Goodall for biological taxonomy[13], that gives greater weight to uncommon feature-value matches in similarity computations and makes no assumptions of the underlying… CONTINUE READING