TY  - JOUR 
AU  - Saez, Jose A.
AU  - Corchado Rodríguez, Emilio Santiago
PY  - 2019
SN  - 2169-3536
UR  - http://hdl.handle.net/10366/161924
AB  - [EN]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 Cluster cardinality
TI  - A Meta-Learning Recommendation System for Characterizing Unsupervised Problems: On Using Quality Indices to Describe Data Conformations
DO  - 10.1109/ACCESS.2019.2917004
T2  - IEEE Access
VL  - 7
M2  - 63247
ER  -