"The K-means++ is meant exactly for choosing initial centroids. The overhead due to this approach is negligible - see the final slides from "The advantage of careful seeding"."
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Lucian replied to DataMiner's discussion Initialization methods for k-means clustering. in the group Data Mining
Profile Information
- Field of Expertise:
- Data Mining, Artificial Intelligence
- Professional Status:
- Professor
- Interests:
- Finding a New Position
- What is your Favorite Data Mining or Analytical Website?
- http://www.kdnuggets.com
- What Other Analytical Website do you Recommend?
- http://dataminingresearch.blogspot.com/
- Your Company:
- Transilvania University of Brasov
- Industry:
- Academic
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