Solve 1+ k-Means Clustering and Cluster Geometry previous year questions for GATE DA with answers and detailed solutions. Free sample questions below.
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Solve 1+ k-Means Clustering and Cluster Geometry previous year questions for GATE DA with answers and detailed solutions. Free sample questions below.
Imagine dividing a city into delivery zones for warehouses. The rule is simple: every house belongs to the warehouse closest to it. The invisible lines separating these zones form the geometry of the clusters.
In machine learning, this is exactly what -means does in a multi-dimensional feature space. It partitions the space into distinct territories, known as Voronoi regions, based purely on Euclidean distance to the cluster centers.