在本文中,我将演示如何使用 K-Means聚类算法,根据商城数据集(数据链接)中的收入和支出得分对客户进行细分的。 商场客户细分的聚类模型(Clustering Model) 目标:根据客户收入和支出分数,创建客户档案 指导方针: 1. 数据准备、清理和整理 2. 探索性数据分析 3. 开发聚类模型 数据描述 : 1.CustomerID :每个客户的唯...
继续,我们来检查一下从 0 到 100 的每个数字列的百分位总结。 #Let's see the percentile from each numerical columns from the dataset defpercentile(df, column):print(f'{column} Percentile Summary :')fora inrange(0,101,10):print(f'- {a}th Percentile : {round(np.percentile(df[column],a)...
灵感来源于使用K-means算法建立聚类区域的质心向量。不同于以往的动物园算法，该算法原理新颖，在优化算法...
pyspark 计算 KMeans 一、从csv读取数据 # header表示数据的第一行是否为列名dataset= spark.read.format("csv").option("header",True).load("video_info.csv") 其中csv数据结构为:video_id,"feature1,feature2,featuren" 二、获取所有特征,并转换为特征-索引字典,用于后续构造特征向量 rdd = dataset.rdd.m...
df1.to_csv('dataset/out_fitness_analysis.csv', index=False, columns=['Gender','Age_range','Exercise_importance','Fitness_level','Regularity','Do_you','Time','Time_spent','Balanced_diet','Health_level','Recommend_fitness','Equipment'])# print(df1.head())# df1.info()''' ...
Clustering vector: [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [29] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 [57] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 ...
df = pd.read_csv('student_clustering.csv') print("The shape of data is",df.shape) df.head() 3. Scatter Plot of the Dataset Now comes the step of modeling is to visualize the data, so we use matplotlib to draw the scatter plot to check how the clustering algorithm works and create...
from sklearn.cluster import KMeans import pandas as pd import numpy as np import matplotlib.pyplot as plt # 假设你已经有了一个数据集df # df = pd.read_csv('your_dataset.csv') # 这里我们使用随机生成的数据作为示例 np.random.seed(0) data = np.random.rand(100, 2) # 生成100个二维数据...
197 - 11 Unsupervised Learning Algorithms KMeans Clustering Implementation 04:23 198 - 12 Unsupervised Learning Algorithms Hierarchical Clustering Implementation 05:17 199 - 13 Unsupervised Learning Algorithms DBSCAN 05:00 200 - 14 Unsupervised Learning Algorithms Gaussian Mixture ModelsGMM 04:55 201...
# K-Means Clustering# importing the librariesimport numpy as npimport matplotlib.pyplot as pltimport pandas as pd# importing tha customer Expenses Invoices dataset with pandasdataset=pd.read_csv('Expense_Invoice.csv')X=dataset.iloc[: , [3,2]].values# Using the elbow method to find the ...