Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?
In Logging Analytics, ML-driven visualizations aid log analysis:
Cluster (A): Uses machine learning to group logs by structural similarity (''shape''), reducing noise and highlighting patterns or anomalies in large datasets.
Why not B or C?
Summary Table (B): Aggregates data tabularly, not ML-based or shape-focused.
Word Cloud (C): Displays word frequency, not structural grouping.
Cluster is ideal for large-scale log pattern recognition.
Kimberlie
13 days agoNobuko
14 days agoUlysses
15 days agoEmelda
23 days agoBrett
1 days agoOllie
2 days agoDeane
1 months agoTish
1 months agoAlana
2 days agoKristine
7 days agoRex
9 days agoGlendora
1 months agoGretchen
1 months agoTambra
1 months agoDetra
1 months agoLindsey
1 days agoDion
5 days agoDorthy
10 days agoMaira
27 days agoElenor
1 months agoTayna
1 months ago