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數(shù)據(jù)分析 數(shù)據(jù)挖掘課程設(shè)計(jì) 源代碼+提交文檔 航空公司客戶價(jià)值分析數(shù)據(jù)挖掘設(shè)計(jì)文檔 文檔經(jīng)過查重不會(huì)和網(wǎng)上有很大重復(fù)
代碼片段和文件信息
#-*-?coding:?utf-8?-*-
#畫出特征雷達(dá)圖
import?pandas?as?pd
import?numpy?as?np
import?matplotlib.pyplot?as?plt
from?sklearn.cluster?import?KMeans?#導(dǎo)入K均值聚類算法
inputfile?=?‘../tmp/zscoreddata1.xls‘?#待聚類的數(shù)據(jù)文件
k?=?5???????????????????????#需要進(jìn)行的聚類類別數(shù)
#讀取數(shù)據(jù)并進(jìn)行聚類分析
data?=?pd.read_excel(inputfile)?#讀取數(shù)據(jù)
#調(diào)用k-means算法,進(jìn)行聚類分析
kmodel?=?KMeans(n_clusters?=?k?n_jobs?=?4)?#n_jobs是并行數(shù),一般等于CPU數(shù)較好
kmodel.fit(data)?#訓(xùn)練模型
labels?=?data.columns?#標(biāo)簽
k?=?5?#數(shù)據(jù)個(gè)數(shù)
plot_data?=?kmodel.cluster_centers_
color?=?[‘b‘?‘g‘?‘r‘?‘c‘?‘y‘]?#指定顏色
angles?=?np.linspace(0?2*np.pi?k?endpoint=False)
plot_data?=?np.concatenate((plot_data?plot_data[:[0]])?axis=1)?#?閉合
angles?=?np.concatenate((angles?[angles[0]]))?#?閉合
fig?=?plt.figure()
ax?=?fig.add_subplot(111?polar=True)?#設(shè)置為極坐標(biāo)方式
for?i?in?range(len(plot_data)):
??ax.plot(angles?plot_data[i]?‘o-‘?color?=?color[i]?label?=?‘client‘+str(i+1)?linewidth=2)#?畫線
?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????文件???????14336??2019-12-24?14:28??18-19-1數(shù)據(jù)挖掘考試要求.doc
?????目錄???????????0??2019-06-11?19:32??data_test\
?????目錄???????????0??2019-06-11?19:55??data_test\.idea\
?????文件?????????408??2019-06-11?19:32??data_test\.idea\data_test.iml
?????文件?????????277??2019-06-11?19:32??data_test\.idea\modules.xm
?????文件????????5981??2019-06-11?19:55??data_test\.idea\workspace.xm
?????目錄???????????0??2019-06-26?22:18??data_test\code\
?????文件????????1112??2019-06-11?19:36??data_test\code\cluster.py
?????文件?????????879??2019-01-01?16:17??data_test\code\data_clean.py
?????文件?????????813??2019-01-01?22:41??data_test\code\data_explore?2.py
?????文件????????1222??2019-01-01?13:29??data_test\code\data_explore.py
?????文件?????????670??2019-01-01?22:22??data_test\code\data_scale?.py
?????文件?????????556??2019-01-01?22:26??data_test\code\data_zscore.py
?????文件?????????841??2019-03-24?16:25??data_test\code\KMeans.py
?????文件?????????835??2019-06-26?22:19??data_test\code\新建文本文檔.txt
?????目錄???????????0??2019-06-11?00:30??data_test\data\
?????文件????14478308??2015-12-05?21:05??data_test\data\air_data.csv
?????文件?????1909015??2019-01-01?17:47??data_test\data\zscoredata1.csv
?????文件?????6883328??2015-12-05?21:04??data_test\data\zscoreddata.xls
?????文件???????11098??2019-01-01?15:09??data_test\data\客戶信息屬性說明.xlsx
?????目錄???????????0??2019-06-11?00:30??data_test\tmp\
?????文件????30204928??2019-01-01?16:18??data_test\tmp\data_cleaned.xls
?????文件????????9728??2019-01-01?13:29??data_test\tmp\explore1.xls
?????文件????????5632??2019-01-01?22:41??data_test\tmp\explore2.xls
?????文件?????????639??2019-03-24?16:33??data_test\tmp\kmeans.csv
?????文件?????????638??2019-01-02?15:08??data_test\tmp\kmeans2.csv
?????文件?????6883328??2019-01-01?22:26??data_test\tmp\zscoreddata1.xls
?????文件??????632495??2019-06-27?15:42??航空公司客戶價(jià)值分析數(shù)據(jù)挖掘設(shè)計(jì)文檔.docx
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