Mapa mental
Clustering Algorithms
Contenido del mapa
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
Información
- Descripción
- Mapa Mental sobre Clustering Algorithms, creado por Ian Kinskey el 03/11/2017.
- Creado por
- Ian Kinskey
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