TY  - CONF
AU  - Navajas-Guerrero, Adriana
AU  - Manjarres, Diana
AU  - Portillo, Eva
AU  - Landa-Torres, Itziar
A4  - Martínez Álvarez, Francisco
A4  - Troncoso Lora, Alicia
A4  - Sáez Muñoz, José António
A4  - Corchado, Emilio
A4  - Quintián, Héctor
PY  - 2020
DO  - 10.1007/978-3-030-20055-8_17
SN  - 9783030200541
SN  - 2194-5357
UR  - https://hdl.handle.net/11556/2188
AB  - Clustering methods have become popular in the last years due to the need of analyzing the high amount of collected data from different fields of knowledge. Nevertheless, the main drawback of clustering is the selection of the optimal method along with...
LA  - eng
PB  - Springer Verlag
TI  - A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data
TY  - conference output
ER  -