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1. Mastering Customer Segmentation with LLM

   Unlock advanced customer segmentation techniques using LLMs, and improve your clustering models with advanced techniques

   2023-09-28 Tags: llm, segmentation, kmeans, k prototype, tsne, pca, sentence, embedding, clustering, exploratory data analysis by klotz
2. python - Drawing boundary lines based on kmeans cluster centres - Stack Overflow

   from scipy.spatial import Voronoi, voronoi_plot_2d
   import pandas as pd
   import matplotlib.pyplot as plt
   from sklearn.cluster import KMeans
   
   location1="XXX"
   df = pd.read_csv(location1, encoding = "ISO-8859-1")
   
   #Run kmeans clustering
   X = df ['long','lat' » ].values #~2k locations in the UK
   y=df 'label' » .values #Label is a 0 or 1
   kmeans = KMeans(n_clusters=30, random_state=0).fit(X, y)
   centers=kmeans.cluster_centers_
   
   plt.scatter(centers :,0 » ,centers :,1 » , marker='s', s=100)
   
   
   vor = Voronoi(centers)
   fig = voronoi_plot_2d(vor,plt.gca())
   
   plt.show()

   2021-09-24 Tags: vornoi, visualization, kmeans by klotz
3. “Learn TensorFlow, the Word2Vec model, and the TSNE algorithm using rock bands”

   2018-08-19 Tags: tensorflow, tsne, kmeans, word2vec, machine learning, clustering, classification by klotz

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