Mind map
Clustering Algorithms
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Clustering Algorithms
k-Means
- Strengths
- Weaknesses
Hierarchical Agglomerative Clustering
DBSCAN
- Strengths
- Noise resistant
- Able to handle arbitrary shapes and sizes
- Weaknesses
- Trouble w/ clusters of widely varying density
- expensive when computation of nearest neighbors requires computing all pairwise proximities
- Strengths
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- Mind Map on Clustering Algorithms, created by Ian Kinskey on 03/11/2017.
- Created by
- Ian Kinskey
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