Data Mining and Data Warehousing Part 19 | CLARA Algorithm in data mining | CLARA using in Machine Learning | by Prem Sir | PremnArya
About the video:
This video explains the following contents in detail with examples and diagrams. This topic also related to Machine Learning, Data Science, Data Analytics, Big Data etc.
1. CLARA Algorithm
2. CLARA Algorithm Functioning
3. CLARA Algorithm Steps
4. Complexity of CLARA Algorithm
5. PAM Algorithm or Partitioning Around Medoids
6. Partitioning Technique or methods
7. Unsupervised methods or technique
This video also explained the drawback of the k-medoids (PAM) algorithm:
1. More costly
2. RAM storage problem
3. Not good for large data sets
4. Complexity O(k(n-k)2) or O(k3 + nk)
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