TY - CHAP A1 - Yuh Sugii A2 - Takayuki Kudoh A3 - Takayuki Otani A4 - Masashi Ikeda A5 - Heizo Tokutaka A6 - Masaharu Seno ED1 - Josphat Igadwa Mwasiagi Y1 - 2011-01-21 PY - 2011 T1 - Clustering Genes, Tissues, Cells and Bioactive Chemicals by Sphere SOM 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. 20 UR - https://doi.org/10.5772/13926 DO - 10.5772/13926 SN - PB - IntechOpen CY - Rijeka Y2 - 2022-05-21 ER -