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A Simple Explanation of K-means Clustering in Python
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Association Rule Learning | Apriori
Eclat Intuition
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Upper Confidence Bound (UCB) Algorithm: Solving the Multi-Armed Bandit Problem
Thompson Sampling Intuition
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Eclat Intuition | Machine Learning

Written by- Sharif 381219 times views

Eclat Intuition: Today, we are talking about the Eclat model. It is similar to the Apriori algorithm. Here, we actually talking about the rules. Because the cloud model is different from the a priori model. In Eclat intuition, the cloud model is just like in the Apriori model we have the support vector. But we do not have confidence and lift factors. We are only looking for support. It much faster and the steps involved are set minimum support so we want to set up a support level.


There are several steps:


Step 1: Set a minimum support.


Step 2: Take all the subsets in a transaction having higher support than minimum support.


Step 3: Sort these subsets by decreasing support.


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