Unsupervised Learning is a key concept in the field of Machine Learning. It involves learning from data sets that do not have labeled responses. This method is used to discover hidden patterns or data groupings without prior assumptions about the data.
Unsupervised Learning Techniques
- Clustering: This technique groups data into clusters based on their similarities.
- Example: K-means Clustering
- Association: It is used to discover interesting relationships between variables in large databases.
- Example: Apriori Algorithm
- Dimensionality Reduction: This technique reduces the dimensionality of data.
- Example: Principal Component Analysis (PCA)
Applications
- Market Basket Analysis: Helps in understanding the purchasing patterns of customers.
- Image Compression: Reduces the size of images without losing significant information.
- Recommendation Systems: Suggests items based on user behavior.
Clustering Example