{"id":36649,"date":"2024-11-01T09:50:18","date_gmt":"2024-11-01T09:50:18","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=36649"},"modified":"2024-11-01T11:52:22","modified_gmt":"2024-11-01T11:52:22","slug":"deep-learning-pytorch-course-what-is-clustering","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/36649\/","title":{"rendered":"Deep Learning PyTorch Course, What is Clustering"},"content":{"rendered":"

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Clustering is a data analysis technique that involves dividing given data into groups with similar characteristics. It is utilized in various fields such as data mining, image analysis, and pattern recognition. In this course, we will explore the basic concepts of clustering and how to implement clustering using PyTorch.<\/p>\n

1. Basics of Clustering<\/h2>\n

The goal of clustering is to partition data into groups with similar characteristics. In this case, data belonging to the same group is similar to each other, while data from different groups is distinct. Clustering is a type of unsupervised learning that is applied to unlabeled data.<\/p>\n

1.1 Key Techniques in Clustering<\/h3>\n

There are various techniques in clustering, with the most commonly used methods being:<\/p>\n