Array

Implementation of K-Means Clustering in Machine Learning

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Consider the unlabeled dataset represented in Figure below: you can clearly see 5 blobs of instances. The K-Means algorithm is a simple algorithm capable of clustering this kind of dataset very quickly and efficiently, often in just a few iterations. It was proposed by Stuart Lloyd at the Bell Labs in 1957 as a technique … Read more

Finding the Top K Most Frequent Elements in an Array

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Python

Finding the top ( k ) most frequent elements in an array is a common question in coding interviews and a useful task in various applications like data analysis and natural language processing. This guide will walk you through three effective methods to solve this problem: using a HashMap with sorting, Min-Heap, and Bucket Sort. … Read more