Apache Spark for Machine Learning

6

Building a Clustering System

In the evolving landscape of machine learning, unsupervised learning stands as a beacon of exploration, where algorithms delve into the raw, unlabeled data, seeking patterns, structures, and insights without explicit labels or instructions. This chapter is dedicated to the art and science of clustering, a type of unsupervised learning that groups data points based on their similarities, revealing the underlying structure of the dataset.

Clustering algorithms are the cartographers of data, charting the hidden territories within datasets. They operate under a simple yet profound premise: to group data points together that are alike and separate those that differ significantly. This seemingly straightforward task ...