PROJECT TITLE: Different types of Clustering
DATASET:
Iris dataset
WHAT I HAD DONE: I present that issue in two parts one is explaination part and the other is coding part to explain in a better way and i use iris dataset to explain different types of clustering.
Clustering done:
- DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
- OPTICS (Ordering Points to Identify Clustering Structure)
- Hierarchical Clustering
- K-means clustering
- PAM (Partitioning Around Medoids)
LIBRARIES NEEDED:
- Pandas
- Matplotlib
- Seaborn
- Numpy
- Sklearn