Simple BL-SOM specifications

Unique identifier:
Alternative name:
Command line interface, Graphical user interface
Output data:
Four files: “WTSPCA” that contains initial weight vectors generated by PCA, “WTSSOM” that contains the final weight vectors generated by the learning process of SOM, “CLSOM” that accumulates information on classification of objects in the self-organizing map, and “Convergence”.
Operating system:
Simple Batch-Learning Self-Organizing Map
Software type:
Restrictions to use:
Output format:
Computer skills:
Java j2sdk


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Simple BL-SOM distribution


Simple BL-SOM support


  • Kazuki Saito <>

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Department of Molecular Biology and Biotechnology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan; Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Saitama, Japan; RIKEN Plant Science Center, Kanagawa, Japan; Institute for Botany, University of Hannover, Hannover, Germany; Phenomenome Discoveries Inc., Saskatoon, SK, Canada; Department of Bioinformatics and Genomics, Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan; Ehime Women’s College, Ehime, Japan; Kazusa DNA Research Institute, Chiba, Japan; Max-Planck-Institute for Chemical Ecology, Jena, Germany

Funding source(s)

Supported in part by Core Research for Evolutional Science and Technology of Japan Science and Technology Agency, by grants-in-aid from the Ministry of Education, Science, Culture, Sports, and Technology, Japan, and by the project “Development of Fundamental Technologies for Controlling the Process of Material Production of Plants” from New Energy and Industrial Technology Development Organization.

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