原创 Python：提取.mat文件數據
import scipy.io as scio import numpy as np path = r'E:\dataset\clusterData\label.mat' path1 = r'E:\dataset\clusterDat
2020-02-23 21:19:52
原创 Python：獲取list中出現次數最多的元素
a = [1,2,3,4,2,3,2] maxlabel = max(a,key=a.count) print(maxlabel)
2020-02-23 21:19:52
原创 python：給didi數據集添加標記
import pandas as pd import numpy as np data = pd.read_excel(r'E:\dataset\clusterData\didi_1.xls',header=None,index_co
2020-02-23 21:19:52
原创 Python：手工計算分類精度
import numpy as np a = np.array([1,2,3,4,5,6,7]) b = np.array([1,2,4,5,5,7,7]) predicitons = (b == a) score = np.sum(
2020-02-23 21:19:52
原创 Python：處理Robot Navigation數據集的標籤
import numpy as np import pandas as pd data = np.array(pd.read_csv(r'E:\dataset\未處理數據集\Robot Navigation\sensor_readin
2020-02-23 21:19:52
原创 intelligent-annotation 的使用，無tensorflow 運行通過！
from __future__ import absolute_import from __future__ import division from __future__ import print_function import o
2020-02-23 21:19:52
原创 Python：Semeion數據集標籤處理
import numpy as np import pandas as pd label = np.array(pd.read_csv(r'E:\dataset\未處理數據集\Semeion\label.csv',header=Non
2020-02-23 21:19:52
原创 Python：獲取列表List中給定索引的元素，不可以使用List的存儲索引。A是list，B也是list A[B]是有問題的。
import numpy as np # a = np.array([[1,2],[2,3],[3,4],[4,5]]) a = [[1,2],[2,3],[3,4],[4,5]] b = np.array([1,2,3]) print
2019-10-28 04:33:36
原创 Python：查找sklearn.datasets數據根目錄查找方法
from sklearn.datasets.base import get_data_home print(get_data_home())
2019-10-26 06:11:48
原创 Python：numpy array 增加，刪除，查找元素索引
import numpy as np a = np.array([1,2,3,4,5,6]) b = np.array([1,2,3]) c = np.hstack((a,b)) print(c) print(c.shape) pr
2019-10-26 06:11:48
原创 Python：生成聚類數據：米老鼠 （不平衡數據）
# -*- coding:utf-8 -*- import numpy as np import matplotlib.pyplot as plt import pandas as pd np.random.seed(101) n =
2019-10-26 06:11:48
原创 Python: 使用max()獲取列表中重複出現次數最多的元素
import numpy as np a = [1,2,3,4,5,6,7,] print(max(a,key=a.count)) 其中 a 必須使 列表。 如果a 是nparray就會出錯 例如如下是錯的： import nump
2019-10-26 06:11:48
原创 ALEC--《Active learning through density clustering 》[Wang et al. 2017 ] python實現代碼
文獻：：：Wang M , Min F , Zhang Z H , et al. Active learning through density clustering[J]. Expert Systems with Application
2019-10-26 06:11:48
原创 Python：from collections import OrderedDict 在迭代過程中出錯原因【心得】
from collections import OrderedDict dict = OrderedDict([("a", 1), ("b", 2), ("c", 3)]) for key,val in dict.items():
2019-10-26 06:11:48
原创 Python：手寫代碼之密度峯值聚類算法Clustering by fast search and find of density peaks（DPCA）
import numpy as np from scipy.spatial.distance import pdist,squareform from collections import OrderedDict X = np.arr
2019-10-26 06:11:48