TY  - JOUR
AU  - Vélez Serrano, Daniel
AU  - Sueiras, Jorge
AU  - Ortega, Alejandro
AU  - Velez, Jose F.
PY  - 2015
DO  - 10.1007/s10260-015-0345-4
SN  - 1618-2510
SN  - 1613-981X
UR  - https://hdl.handle.net/20.500.14352/96877
T2  - Statistical Methods & Applications
AB  - In this paper, a methodology is proposed in order to produce a set of seeds later used as a starting point to K-Means-type unsupervised classification algorithms for text mining. Our proposal involves using the eigenvectors obtained from principal...
LA  - eng
M2  - 477
PB  - Springer
KW  - Text mining
KW  - K-Means
KW  - PCA
KW  - Classification
KW  - Seeds
KW  - Eigenvectors
TI  - A method for K-Means seeds generation applied to text mining
TY  - journal article
VL  - 25
ER  -