What is Clustering in Machine Learning?

Thinking Neuron · Beginner ·📐 ML Fundamentals ·4y ago

Skills: Unsupervised Learning61%

About this lesson

Clustering: Finding groups of data. Basically, put similar ROWS in data under one group. For example, Finding the types of customers using shopping behaviour data Finding the types of users in telecom, based on their usage data. How many groups are present in a given unknown data. Important algorithms used for clustering are K-Means, Hierarchical clustering, DBSCAN, and OPTICS. Learn more about Clustering at the Thinking Neuron website using below link: https://thinkingneuron.com/data-science-interview-questions-for-it-industry-part-4-unsupervised-ml/#Overview #machinelearning #clustering #kmeans #hierarchical #DBSCAN #unsupervisedlearning

Original Description

Clustering: Finding groups of data. Basically, put similar ROWS in data under one group. For example, Finding the types of customers using shopping behaviour data Finding the types of users in telecom, based on their usage data. How many groups are present in a given unknown data. Important algorithms used for clustering are K-Means, Hierarchical clustering, DBSCAN, and OPTICS. Learn more about Clustering at the Thinking Neuron website using below link: https://thinkingneuron.com/data-science-interview-questions-for-it-industry-part-4-unsupervised-ml/#Overview #machinelearning #clustering #kmeans #hierarchical #DBSCAN #unsupervisedlearning

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