The Basic k-Means Clustering Algorithm
The image showcases Python code implementing the K-Means Clustering algorithm. The code defines essential methods for initializing centroids, assigning clusters, updating centroids, calculating inertia, and fitting the model, providing a complete workflow for clustering tasks. This well-structured snippet offers an intuitive look at one of the most widely used clustering algorithms, making it an excellent resource for data analysts and machine learning practitioners.
Select product type
Choose size
Sale ends in d : h : m : s
25% OFF on 1 Displate
30% OFF on 2 Displates
35% OFF on 3+ Displates
Gloss
Shine on with vivid colors
With their gently reflective surface, glossy Displates offer enhanced contrast, highlighting vibrant hues, deep blacks, and intricate details.
Go for gloss if you're looking for a photo-like finish. For best effect, try to avoid direct light when arranging your posters.
Matte
Sleek, soft, and elegant
The subtle matte finish draws more attention to the smooth metal surface of your Displates, absorbing light and enhancing their elegant, soft texture.
The colors are slightly toned down, making this finish a perfect fit for all atmospheric illustrations and paintings.
Discover exclusive posters
from top brands
Explore related searches
Secure payments
Fast delivery
100 days for return
