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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