Clustering in Data Mining - K Means Clustering Algorithm - Hierarchical Clustering
Offered By: Great Learning via YouTube
Course Description
Overview
This "Clustering in Data Mining" tutorial will help you to comprehensively learn all the concepts related to clustering algorithms. Clustering is a powerful and broadly acceptable data mining technique which is used to partition huge data into different classes, known as clusters. It is the most important unsupervised learning algorithm ; and it deals with finding a structure in a collection of unlabeled data.
Syllabus
- Introduction to machine learning.
- Introduction to unsupervised learning.
- K Means clustering demo.
- Principal Component Analysis.
- Demo on PCA.
- Hierarchical Clustering.
Taught by
Great Learning
Related Courses
Genomic Data Science and Clustering (Bioinformatics V)University of California, San Diego via Coursera Analyse des données multidimensionnelles
Agrocampus Quest via France Université Numerique Segmentation and Clustering
Udacity Data Mining - Clustering and Association
University of Milano-Bicocca via EduOpen Cluster Analysis
University of Texas Arlington via edX