YoVDO

Clustering in Data Mining - K Means Clustering Algorithm - Hierarchical Clustering

Offered By: Great Learning via YouTube

Tags

Data Mining Courses Machine Learning Courses Unsupervised Learning Courses Clustering Algorithms Courses Hierarchical Clustering Courses Principal Component Analysis Courses K-Means Clustering Courses

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

Bioinformatics Algorithms (Part 2)
University of California, San Diego via Coursera Genomic Data Science and Clustering (Bioinformatics V)
University of California, San Diego via Coursera Сравнение и создание групп
Novosibirsk State University via Coursera Explorez vos données avec des algorithmes non supervisés
CentraleSupélec via OpenClassrooms Introducción a la Minería de Datos
Pontificia Universidad Católica de Chile via Coursera