TY - CHAP A1 - Agus Buono A2 - Wisnu Jatmiko A3 - Benyamin Kusumoputro ED1 - Josphat Igadwa Mwasiagi Y1 - 2011-01-21 PY - 2011 T1 - Mel-Frequency Cepstrum Coeffficients as Higher Order Statistics Representation to Characterize Speech Signal for Speaker Identification System in Noisy Environment Using Hidden Markov Model N2 - Kohonen Self Organizing Maps (SOM) has found application in practical all fields, especially those which tend to handle high dimensional data. SOM can be used for the clustering of genes in the medical field, the study of multi-media and web based contents and in the transportation industry, just to name a few. Apart from the aforementioned areas this book also covers the study of complex data found in meteorological and remotely sensed images acquired using satellite sensing. Data management and envelopment analysis has also been covered. The application of SOM in mechanical and manufacturing engineering forms another important area of this book. The final section of this book, addresses the design and application of novel variants of SOM algorithms. BT - Self Organizing Maps SP - Ch. 11 UR - https://doi.org/10.5772/13944 DO - 10.5772/13944 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-09-18 ER -