TY  - GEN 
AU  - Sáez Muñoz, José Antonio
AU  - Corchado, Emilio
PY  - 2019
UR  - https://hdl.handle.net/10481/99061
AB  - The clustering of a new unsupervised problem usually requires knowing both if the samples may be separable in different groups and the number of these groups. This information, which has a great impact on the results obtained, is generally unknown...
LA  - eng
PB  - IEEE
KW  - cluster cardinality
KW  - data uniformity
KW  - meta-learning
KW  - quality indices
KW  - unsupervised learning
TI  - A meta-learning recommendation system for characterizing unsupervised problems: on using quality indices to describe data conformations
DO  - 10.1109/ACCESS.2019.2917004
ER  -