数据挖掘
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K-means
import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D data = [] #csv读入数据 cty_data = [] #将相同国家整合 cdata = [] #提取出的三维数据 def data_p(f原创 2018-04-24 19:38:23 · 199 阅读 · 0 评论 -
谱聚类(spectral clustering)
谱聚类(spectral clustering) 点击打开链接 import matplotlib.pyplot as plt import numpy as np from numpy import linalg as LA from sklearn.cluster import KMeans from sklearn.datasets import make_blobs from sklea原创 2018-04-24 21:08:00 · 300 阅读 · 0 评论 -
MDS 降维
MDS 降维:点击打开链接 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D data = [] cty_data = [] def data_p(fliename): fr = open(fli原创 2018-04-24 21:31:52 · 839 阅读 · 0 评论 -
PCA降维
PCA降维:点击打开链接 from numpy import * import numpy as np import matplotlib.pyplot as plt import numpy as np from numpy import linalg as LA from sklearn.cluster import KMeans from sklearn.datasets impo原创 2018-04-24 21:51:45 · 379 阅读 · 0 评论 -
LDA+可视化
from nltk.tokenize import RegexpTokenizer from stop_words import get_stop_words from nltk.stem.porter import PorterStemmer from gensim import corpora, models import gensim import csv import jieba impo原创 2018-04-28 17:19:27 · 3671 阅读 · 1 评论
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