import numpy as np from sklearn.cluster import KMeans import matplotlib.pyplot as plt # Sample data: customer_id, total_purchases, avg_time_between_purchases (hours) customer_data = np.array([ [1, 25, 0.5], [2, 10, 5], [3, 15, 2], [4, 30, 1], [5, 7, 10], [6, 20, 3], [7, 12, 7], [8, 28, 0.8], [9, 6, 12], [10, 18, 1.5] ]) # Extract customer IDs and feature data customer_ids = customer_data[:, 0].astype(int) features = customer_data[:, 1:] # Perform k-means clustering n_clusters = 2 kmeans = KMeans(n_clusters=n_clusters, random_state=42) cluster_labels = kmeans.fit_predict(features) # Find the cluster with the lowest average time between purchases impulsive_cluster = np.argmin(kmeans.cluster_centers_[:, 1]) # Get the customer IDs in the impulsive cluster impulsive_buyers = customer_ids[cluster_labels == impulsive_cluster] print("Impulsive buyers:", impulsive_buyers) # Visualize the clustering results (optional) plt.scatter(features[:, 0], features[:, 1], c=cluster_labels, cmap='viridis') plt.scatter(kmeans.cluster_centers_[:, 0], kmeans.cluster_centers_[:, 1], c='red', marker='x') plt.xlabel('Total Purchases') plt.ylabel('Average Time Between Purchases (hours)') plt.show()
top of page
Available Online

virtual consultation

"Less Frustration, More Success." my goal is to provide advice and guidance.

  • 1 hour
  • Location 1|Peachtree Street Northeast

Service Description

Greetings, Welcome! I'm Travon Brown and I specialize in providing advice to new and upcoming independent artists. Congratulations on taking the brave step of trying something new - creating music as an independent artist is incredibly rewarding and it can open up a world of opportunities for you if done right. Let's start by discussing what goals you have with your music career as this will be important down the road when we discuss further strategy. Do you have any specific targets or objectives that come to mind?

Contact Details

  • Atlanta, GA, USA

    4046009965

    avos.records@gmail.com

  • 215 Peachtree Street Northeast, Atlanta, GA 30303, USA

    4046009965

    avos.records@gmail.com

Service Page: Bookings_Service_Page
bottom of page