Learn · Statistical Data Analysis: Application to Atmospheric Science
Lecture 19 of 20Week 4
Self-organizing Maps
Prof. Sarita Azad · IIT Mandi
Credits and licence
- From
- Statistical Data Analysis: Application to Atmospheric Science, IIT Mandi (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Introduction to Data Analytics -I
- Introduction to Data Analytics -II
- Introduction to Data Analytics -III
- Introduction to Data Analytics- IV
- Statistical Data Analysis- Case study on Himalayan climate data
- Introduction to Statistics
- Fundamentals of Probability DIstribution
- Probability Distributions for Time Series Prediction-I
- Probability Distributions for Time Series Prediction-II
- Statistical Data Analysis- Case study on Himalayan Pollution Data
- Time Series Forecasting-I
- Time Series Forecasting -II
- Time Series Forecasting-III
- Time Series Forecasting- IV
- Case study: decline of SO4 and its role in Himalayan warming
- K-means Clustering
- K-means clustering cont.
- Introduction to PCA
- Self-organizing Maps
- Self-organizing Maps Cont.