evaluating clustering algorithms?
We are working on text clustering for the data science project we find a few algorithms that can work with text like
-K-means
-K-medoids
These two are centroid clustering and we use Davies Bouldin evaluation metrics to evaluate them
-Agglomerative clustering
-Top-down clustering
These two are hierarchical clustering but we don't know how to evaluate them we need to compare between these four, so we need to find unified evaluation method
Tagged:
0
Answers
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts