Medical Data Set Clustering Analysis Using R-Programming

   Medical Data Set Clustering Analysis Using       R-Programming By Bharani Dharan N  CB.BU.P2ASB23046 1 . Importing Libraries import pandas as pd import numpy as np from sklearn.cluster import KMeans from sklearn.preprocessing import MinMaxScaler import matplotlib.pyplot as plt from sklearn.impute import SimpleImputer from sklearn.preprocessing import FunctionTransformer from sklearn.pipeline import Pipeline from sklearn.compose import ColumnTransformer from sklearn.base import BaseEstimator, TransformerMixin from sklearn.decomposition import PCA from sklearn.metrics import silhouette_score from sklearn.cluster import AgglomerativeClustering from sklearn_extra.cluster import KMedoids Explanation : This code snippet outlines a data preparation and clustering analysis pipeline. We leverage pandas for data loading and cleaning tasks. Missing values are handled using scikit-learn's SimpleImputer. Feature scaling for improved clustering distance calculat...