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🔥Welcome to this Full Course on Clustering Analysis.🔥
Cluster analysis is a statistical method used to group similar objects into respective categories. It can also be referred to as segmentation analysis, taxonomy analysis, or clustering. Put simply, cluster analysis discovers structures in data without explaining why those structures exist.
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In this video, you will learn What is K Means Clustering, Hierarchical Clustering, DBSCAN Clustering, BIRCH Clustering, CURE Clustering and many more.
The topics covered are given below:
○ Introduction - 0:00
○ Applications of ML - 0:50
○ What is Clustering - 2:22
○ Types of Clustering - 2:46
○ Connectivity Based Clustering - 3:50
○ Centroid Based Clustering - 4:16
○ Density Based Clustering - 4:35
○ Applications of Clustering - 4:54
○ Elbow Method - 6:50
○ Introduction to K Means Clustering - 8:58
○ Solving a Problem - 11:11
○ Using Silhouette Score - 18:33
○ Hierarchical Clustering - 25:27
○ DBSCAN Clustering - 33:08
○ BIRCH Clustering - 38:52
○ CURE Clustering - 43:22
○ Mini Batch K-Means Clustering - 49:19
○ Mean Shift Clustering - 55:17
○ OPTICS Clustering - 1:02:02
○ Optics Vs DBSCAN Clustering - 1:04:54
○ What is Spectral Clustering - 1:09:37
○ Gaussian Mixture Clustering Algorithm - 1:17:58
○ Kernel Density Estimation - 1:24:59
Why Clustering Analysis is important?
Clustering analysis is a method of unsupervised learning: we do not know the data distribution and our goal is to find patterns and clusters in data. There are many clustering algorithms to choose from, but they all have one thing in common: they work by using distance measurements between points.
Clustering can be used for analyzing large sets of unorganized data such as the stars' positions that we observe from outside our galaxy, or for organizing your music library into different genres such as "party songs" or "sad songs". The technique also has important applications in business intelligence where it can be used to identify customer groups with similar characteristics. Clusters found may suggest new products, advertising campaigns etc.
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