{"id":31395,"date":"2024-10-28T12:01:44","date_gmt":"2024-10-28T12:01:44","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=31395"},"modified":"2024-11-26T06:45:18","modified_gmt":"2024-11-26T06:45:18","slug":"%eb%94%a5%eb%9f%ac%eb%8b%9d%ea%b3%bc-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d%ec%9d%84-%ed%99%9c%ec%9a%a9%ed%95%9c-%ec%9e%90%eb%8f%99%eb%a7%a4%eb%a7%a4-%eb%b9%84%ec%a7%80%eb%8f%84-%ed%95%99%ec%8a%b5","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/31395\/","title":{"rendered":"\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \ube44\uc9c0\ub3c4 \ud559\uc2b5\uc744 \uc774\uc6a9\ud55c \uc2dc\uc7a5 \uc0c1\ud0dc \ubd84\ub958 K-means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \ud1b5\ud574 \uc2dc\uc7a5 \uc0c1\ud0dc(\ubd88\uc7a5, \uc57d\uc138\uc7a5 \ub4f1) \ubd84\ub958."},"content":{"rendered":"

<\/p>\n

\n
\n

\ube44\ud2b8\ucf54\uc778\uacfc \uac19\uc740 \uc554\ud638\ud654\ud3d0\ub97c \uac70\ub798\ud558\ub294 \ub370 \uc788\uc5b4, \ud6a8\uacfc\uc801\uc778 \uc790\ub3d9\ub9e4\ub9e4 \uc804\ub7b5\uc744 \uc218\ub9bd\ud558\ub294 \uac83\uc740 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 K-means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2dc\uc7a5 \uc0c1\ud0dc\ub97c \ubd84\ub958\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<\/header>\n

\n

1. \uc11c\ub860<\/h2>\n

\ube44\ud2b8\ucf54\uc778\uc740 \ubcc0\ub3d9\uc131\uc774 \ud070 \uc790\uc0b0 \uc911 \ud558\ub098\ub85c, \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uac00\uc7a5 \uc778\uae30 \uc788\ub294 \uc554\ud638\ud654\ud3d0\uc785\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc774\ub97c \uc790\ub3d9\uc73c\ub85c \ub9e4\ub9e4\ud558\ub294 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \uac83\uc740 \uac70\ub798\uc790\uc5d0\uac8c \ub9ce\uc740 \uc774\uc810\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ud2b9\ud788, \ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uc774\ub97c \uac00\ub2a5\ud558\uac8c \ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n

\ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ube44\uc9c0\ub3c4 \ud559\uc2b5 \uae30\ubc95 \uc911 \ud558\ub098\uc778 K-means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2dc\uc7a5\uc758 \uc0c1\ud0dc\ub97c “\ubd88\uc7a5”, “\uc57d\uc138\uc7a5”, “\ud6a1\ubcf4\uc7a5”\uc73c\ub85c \ubd84\ub958\ud558\ub294 \ubc29\ubc95\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc2dc\uc7a5\uc758 \uc0c1\ud0dc\ub97c \uc815\ud655\ud788 \ud30c\uc545\ud558\uba74 \uc790\ub3d9\ub9e4\ub9e4 \uc804\ub7b5\uc744 \ubcf4\ub2e4 \ud6a8\uacfc\uc801\uc73c\ub85c \uc124\uacc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/section>\n

\n

2. \ube44\ud2b8\ucf54\uc778 \ub370\uc774\ud130 \uc218\uc9d1<\/h2>\n

\ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574\uc11c\ub294 \ucda9\ubd84\ud558\uace0 \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294 \ub370\uc774\ud130\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \ube44\ud2b8\ucf54\uc778 \uac00\uaca9 \ub370\uc774\ud130\ub294 \ub2e4\uc591\ud55c API\uc5d0\uc11c \uc218\uc9d1\ud560 \uc218 \uc788\uc73c\uba70, \uc608\ub97c \ub4e4\uc5b4 Binance API<\/strong>\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 Python\uc744 \uc774\uc6a9\ud55c \ub370\uc774\ud130 \uc218\uc9d1 \uc608\uc2dc\uc785\ub2c8\ub2e4:<\/p>\n

\n                \nimport requests\nimport pandas as pd\n\n# Binance\uc5d0\uc11c \ube44\ud2b8\ucf54\uc778 \uac00\uaca9 \ub370\uc774\ud130 \uc218\uc9d1\ndef fetch_bitcoin_data(symbol='BTCUSDT', interval='1d', limit='1000'):\n    url = f'https:\/\/api.binance.com\/api\/v3\/klines?symbol={symbol}&interval={interval}&limit={limit}'\n    response = requests.get(url)\n    data = response.json()\n    df = pd.DataFrame(data, columns=['Open Time', 'Open', 'High', 'Low', 'Close', 'Volume', \n                                      'Close Time', 'Quote Asset Volume', 'Number of Trades', \n                                      'Taker Buy Base Asset Volume', 'Taker Buy Quote Asset Volume', 'Ignore'])\n    df['Open Time'] = pd.to_datetime(df['Open Time'], unit='ms')\n    df['Close'] = pd.to_numeric(df['Close'])\n    return df[['Open Time', 'Close']]\n\n# \ube44\ud2b8\ucf54\uc778 \uac00\uaca9 \ub370\uc774\ud130 \ub85c\ub4dc\nbitcoin_data = fetch_bitcoin_data()\nbitcoin_data.set_index('Open Time', inplace=True)\nprint(bitcoin_data.head())\n                <\/code>\n            <\/pre>\n
\uc704 \ucf54\ub4dc\ub294 Binance API\ub97c \ud1b5\ud574 \ube44\ud2b8\ucf54\uc778\uc758 \uc77c\ubcc4 \uac00\uaca9 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uc5ec DataFrame \ud615\ud0dc\ub85c \ubc18\ud658\ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
3. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h2>\n
K-means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\uae30 \uc804\uc5d0 \ub370\uc774\ud130\ub97c \uc804\ucc98\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4. \uc8fc\uc694 \ub370\uc774\ud130 \uc804\ucc98\ub9ac \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n