Hướng dẫn how do you implement agglomerative clustering in python? - làm thế nào để bạn triển khai phân cụm kết tụ trong python?

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Điều kiện tiên quyết: Phân cụm kết tụ kết tụ là một trong những kỹ thuật phân cụm phân cấp phổ biến nhất. Bộ dữ liệu - Bộ dữ liệu thẻ tín dụng. Giả định: Kỹ thuật phân cụm giả định rằng mỗi điểm dữ liệu đủ tương tự với các điểm dữ liệu khác mà dữ liệu khi bắt đầu có thể được giả định là được phân cụm trong 1 cụm. Bước 1: Nhập các thư viện bắt buộc & NBSP; Agglomerative Clustering Agglomerative Clustering is one of the most common hierarchical clustering techniques. Dataset – Credit Card Dataset. Assumption: The clustering technique assumes that each data point is similar enough to the other data points that the data at the starting can be assumed to be clustered in 1 cluster. Step 1: Importing the required libraries 

Python3

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

from sklearn.decomposition import PCA

from pandas as pd1import pandas as pd3

from pandas as pd5import pandas as pd7

from pandas as pd9import import1

import import3

Bước 2: Tải và làm sạch dữ liệu & NBSP; 

Python3

import4

import5import6 import7import8import9

import5import6 numpy as np2numpy as np3numpy as np4import6 numpy as np6import9

numpy as np8import6import0import1import6 import3import9

Bước 3: Tiền xử lý dữ liệu & NBSP; 

Python3

import5import6 import7

import8import6 matplotlib.pyplot as plt0

matplotlib.pyplot as plt1import6 matplotlib.pyplot as plt3

matplotlib.pyplot as plt1import6 matplotlib.pyplot as plt6

Bước 4: Giảm kích thước của dữ liệu & NBSP; 

Python3

matplotlib.pyplot as plt7import6 matplotlib.pyplot as plt9import6 from1import9

from3import6 from5

from3import6 from8

from9import6 sklearn.decomposition 1sklearn.decomposition 2sklearn.decomposition 3sklearn.decomposition 4sklearn.decomposition 5

Dendrogram được sử dụng để chia một cụm nhất định thành nhiều cụm khác nhau. Bước 5: Hình dung hoạt động của dendrogram & nbsp; are used to divide a given cluster into many different clusters. Step 5: Visualizing the working of the Dendrograms 

Python3

sklearn.decomposition 6import6sklearn.decomposition 8sklearn.decomposition 9sklearn.decomposition 3sklearn.decomposition 9import2

import3import4import9

import6import6 import8import6PCA0__

Python3

PCA2import6 PCA4import6 from1import9

sklearn.decomposition 6import6sklearn.decomposition 8pandas as pd01sklearn.decomposition 3pandas as pd01import2

pandas as pd05sklearn.decomposition 2pandas as pd07sklearn.decomposition 4pandas as pd09

pandas as pd10pandas as pd11import6 pandas as pd13import6pandas as pd15import9

pandas as pd17

Python3

pandas as pd18import6 PCA4import6 pandas as pd222____29

sklearn.decomposition 6import6sklearn.decomposition 8pandas as pd01sklearn.decomposition 3pandas as pd01import2

pandas as pd05sklearn.decomposition 2pandas as pd07sklearn.decomposition 4pandas as pd09

pandas as pd10pandas as pd11import6 pandas as pd39import6pandas as pd15import9

pandas as pd17

Python3

pandas as pd44import6 PCA4import6 pandas as pd48import9

sklearn.decomposition 6import6sklearn.decomposition 8pandas as pd01sklearn.decomposition 3pandas as pd01import2

pandas as pd05sklearn.decomposition 2pandas as pd07sklearn.decomposition 4pandas as pd09

pandas as pd62pandas as pd11import6 pandas as pd65import6pandas as pd15import9

pandas as pd17

Python3

pandas as pd70import6 PCA4import6 pandas as pd74import9

sklearn.decomposition 6import6sklearn.decomposition 8pandas as pd01sklearn.decomposition 3pandas as pd01import2

pandas as pd05sklearn.decomposition 2pandas as pd07sklearn.decomposition 4pandas as pd09

pandas as pd62pandas as pd11import6 pandas as pd91import6pandas as pd15import9

pandas as pd17

Python3

pandas as pd96import6 PCA4import6 pandas as pd01import9

sklearn.decomposition 6import6sklearn.decomposition 8pandas as pd01sklearn.decomposition 3pandas as pd01import2

pandas as pd05sklearn.decomposition 2pandas as pd07sklearn.decomposition 4pandas as pd09

pandas as pd62pandas as pd11import6 import17import6pandas as pd15import9

pandas as pd17

Python3

import222import6 sklearn.decomposition 1from1sklearn.decomposition 3pandas as pd22222

import35import6 import37

import38

import39import40

import38

import39import43

import38

import39import46

import38

import39import49

import38

import39import52

import53

import54import55import56import6 import58import9

import60import61import56import6 import58import9

pandas as pd17