Summary
Spectral clustering is a powerful technique that utilizes eigenvectors to identify complex cluster structures, offering advantages over traditional K-means clustering. This method aids BI professionals in uncovering hidden patterns in data by grouping cells in the data graph based on their proximity.
Deepen your knowledge
Knowledge Base
AI in Power BI — Copilot, Smart Narratives and more
Discover all AI features in Power BI: from Copilot and Smart Narratives to anomaly detection and Q&A. Complete overview ...
Knowledge BaseChatGPT and BI — How AI is transforming data analysis
Discover how ChatGPT and generative AI are changing business intelligence. From generating SQL and DAX to automating dat...
Knowledge BasePredictive Analytics — What can it do for your business?
Discover what predictive analytics is, how it works, and how to apply it in your business. From the 4 levels of analytic...