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AutoML Clustering Frameworks Comparison, Clustering Problems - Coggle…
AutoML Clustering Frameworks Comparison
CSmartML
AutoML4Clust
AutoClust
Marco-GE
Perspectives
General :pencil2:
Programming Language (String)
Public Repo (0/1)
Metalearning (0/1)
H. Optimization (0/1) :pencil2:
AutoML Task (HPO, CASH, NAS, Pipeline synthesis) :pencil2:
Realistic Experimentation (0/1)
Repo Stars (number)
Last Release (year)
Number of recommendations
Number of Clustering Algorithm (String)
Number of "other" algorithm (integer)
Scalability and Efficiency
Memory Usage (rank) :checkered_flag:
Time Efficiency (rank) :checkered_flag:
Quality of Clustering (baselines, pairwise comparison) :checkered_flag:
Silhouete (float)
RAI (float)
DBS (float)
Robustness (noise and outliers) (0/1)
Human-in-the-loop (rank) :checkered_flag:
Stability of Clustering (testing different cluster problems and reporting the result as a chat) (Rank) :checkered_flag:
Features
Transferability :pencil2:
Cluster Models (0/1)
Domain (0/1)
Data Agnosticism (0/1) :checkered_flag:
Paralelization (String) :pencil2:
User-Friendliness and Documentation :pencil2:
Ease of Use (x,xx,xxx)
Documentation Quality (???)
Support (???)
xAI
Visualization (Clustering solution) (0/1) :pencil2:
Cluster summary (0/1) :pencil2:
Interpretability (domain specific) (string) :pencil2:
Result Analysis (0/1) :pencil2:
Auto-Cluster
Clustering Problems
Synthetic (Scaliability etc)
UCI (Agnosticism) :checkered_flag: