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self-organizing maps in processing
Kohonen's self-organizing feature maps in Processing Processing If you haven't used processing, you should spend some time with it. It lowers the bar for 2D and 3D graphics programming without significantly restricting your creativity or flexibility. In addition to what you'll find below, here are some beautiful examples of what's possible, complete with source code. The examples on this page use
グラフを扱ã†Javaライブラリ「Jungã€ã®ç´¹ä»‹ - Twitterã®ã‚°ãƒ©ãƒ•æ§‹é€ を視覚化 - public static void main
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SOM tutorial part 1
"I cannot articulate enough to express my dislike to people who think that understanding spoils your experience... How would they know?" Marvin Minsky Introductory Note This tutorial is the first of two related to self organising feature maps. Initially, this was just going to be one big comprehensive tutorial, but work demands and other time constraints have forced me to divide it into two. Never
DLIST
ABOUT THE COLLECTION The Digital Library of Information Science and Technology (DLIST) archive is a cross-institutional, subject-based, open access digital archive for the Information Sciences, including Archives and Records Management, Library and Information Science, Information Systems, Digital Curation, Museum Informatics, records management and other critical information infrastructures. DLIS
自己組織化マップ(Self-Organizing Maps)ã®åŸºç¤Ž
自己組織化マップ(Self-Organizing Maps)ã®åŸºç¤Ž 伊藤 冬å, 廣安 知之, 三木 光範 ISDL Report　 No. 20050822007 2006å¹´ 1月 8æ—¥ Abstract 自己組織化マップ(Self-Organizing Maps, SOM)ã¯ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®ä¸€ç¨®ã§ã‚ã‚‹. 多次元ã®ãƒ‡ãƒ¼ã‚¿ã‚’2次元ã«å†™åƒã™ã‚‹ã“ã¨ãŒå¯èƒ½ã§ã‚ã‚Š, 高次元空間ã®å¯è¦–化ã«ç”¨ã„ã‚‹ã“ã¨ãŒå¯èƒ½ã§ã‚ã‚‹. ã¾ãŸã“れらã®å¤šæ¬¡å…ƒã®ãƒ‡ãƒ¼ã‚¿ã‚’予備知è˜ãªã—ã§ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°å¯èƒ½ã§ã‚ã‚‹. æœ¬å ±å‘Šã§ã¯, 多次元データã®å¯è¦–化, クラスタリングを目的ã¨ã—, SOMを調査ã—ãŸ. ã¾ãŸ, ç„¡æ–™é…布ã•ã‚Œã¦ã„ã‚‹SOMã®ãƒ‘ッケージSOM_PAKを実際ã«åˆ©ç”¨ã—ãŸ. 1  ã¯ã˜ã‚ã« å„分野ã§å–り扱ã‚れるデータã¯å¤šæ¬¡å…ƒã§ã‚ã‚‹ã“ã¨ãŒå¤šã„. ã¾ãŸ, データã”ã¨ã®ç‰¹å¾´ãªã©ã®äºˆå‚™çŸ¥è˜ãŒ ãªã„ä¸ã§, ãã®åˆ†é¡žã‚„
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