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Aiming at the mixed data composed of numerical and categorical attributes, a new unified dissimilarity metric is proposed, and based on that a new clustering algorithm is also proposed. The… Click to show full abstract
Aiming at the mixed data composed of numerical and categorical attributes, a new unified dissimilarity metric is proposed, and based on that a new clustering algorithm is also proposed. The experiment result shows that this new method of clustering mixed data by fast search and find of density peaks is feasible and effective on the UCI datasets.
Keywords:
search find;
find density;
fast search;
mixed data;
clustering mixed;
data fast
Journal Title: Mathematical Problems in Engineering
Year Published: 2017
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Journal Title: Mathematical Problems in Engineering
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!