Dexa/Kyle Polich

Exploring Explainable Clustering

Lucas discusses his ongoing PhD research on explainable clustering, exploring topics such as determining the number of clusters and identifying the impact of explainable partitions on partition quality. He also mentions the availability of his research on Instagram and Twitter.

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From this podcast
Data Skeptic
Explainable K-Means
Related Questions
- What is the challenge around explainability in AI as discussed in the episode Explainable K-Means and the clip Shallow Decision Trees?
- What are the limitations of K-means clustering in the episodes Explainable K-Means and Algorithm Comparison?