SciPyを用ã„ã¦æ½œåœ¨çš„æ„味解æž(LSA) - 未æ¥ã¯åƒ•ä»¥å¤–ã®æ‰‹ã®ä¸
自然言語処ç†ã®æŠ€æ³•ã®ï¼‘ã¤ã«ã€æ½œåœ¨çš„æ„味解æž(LSA)ã¨ã„ã†ã‚‚ã®ãŒã‚る。 å˜èªžæ–‡æ›¸è¡Œåˆ—ＡãŒã‚ã£ãŸå ´åˆã€ç‰¹ç•°å€¤åˆ†è§£(SVD)ã«ã‚ˆã‚Š Ａ=ＵΣＶ ã«åˆ†è§£ã—ã€ç‰¹ç•°å€¤ã‚’大ãã„ã»ã†ã‹ã‚‰k個使ã£ã¦ Ａk=ï¼µkΣkＶk ã®ã‚ˆã†ã«éšŽæ•°ã®ä½Žæ¸›ã‚’è¡Œã†ã“ã¨ã§ã€éšŽæ•°kã®ï¼¡ã¸ã®è¿‘似を最å°èª¤å·®ã§å¾—ã‚‹ã“ã¨ãŒã§ãる。 ã¤ã¾ã‚Šç‰¹ç•°å€¤åˆ†è§£ã®è¨ˆç®—ã•ãˆã§ãã¦ã—ã¾ãˆã°LSAã‚‚ã™ãã§ãã‚‹ã‚ã‘ã ãŒã€ pythonã®æ•°å€¤è§£æžãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«Scipyã«ã‹ã‹ã‚Œã°ç‰¹ç•°å€¤åˆ†è§£ã‚‚ã‚ã£ã¨ã„ã†é–“ã§ã‚る。 ã¾ãšã¯ç‰¹ç•°å€¤åˆ†è§£ã¾ã§â†“ from numpy import * from scipy import linalg A = matrix([ [5, 8, 9, -4, 2, 4], [2, -4, 9, 4, 3, 3], [-3, 4, 8, 0, 5, 6], [-2, 5, 4, 7, 0, 2] ]) u, sigma, v = linalg.sv
Routines and objects by topic — NumPy v2.4 Manual
Routines and objects by topic# In this chapter, routine docstrings are presented, grouped by functionality. Many docstrings contain example code, which demonstrates basic usage of the routine. A convenient way to execute examples is the %doctest_mode mode of IPython, which allows for pasting of multi-line examples and preserves indentation.
1
ランã‚ング
ãŠçŸ¥ã‚‰ã›
ランã‚ング
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
NumPy
http://sango.lab.tkikuchi.net/Members/tkikuchi/courses/ip2009/numpy/freesoft
NumPy for MATLAB users – Mathesaurus
numpy.set_printoptions — NumPy v2.4 Manual
large array in a single line
numpyã®svdã®ä½¿ã„ã‹ãŸ — RIKIMA.com
http://numpy.scipy.org/numpybook.pdf
{{#tags}}- {{label}}
{{/tags}}