Question
Consider a dataset of six points given in the following table, each of which has two features and
Assuming the values of the parameters c and m as 2 and the initial cluster centers
and
apply FCm algorithm to find the new cluster center after one iteration.
| 3 | 11 | |
| 3 | 10 |
| 8 | 12 | |
| 10 | 6 | |
| 13 | 6 | |
| 13 | 5 |
Answer :
Word Count : 217
The Fuzzy C-Means (FCM) algorithm involves the following steps: 1. Compute Membership Values: - The membership of each point \( X_i \) to each cluster center \( V_j \) is given by: \[ u_{ij} = \frac{1}{\sum\limits_{k=1}^{c} ____ _________ _____ _____ ______ ______ _______ _______ __________ ____.
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The Fuzzy C-Means (FCM) algorithm involves the following steps: 1. Compute Membership Values: - The membership of each point \( X_i \) to each cluster center \( V_j \) is given by: \[ u_{ij} = \frac{1}{\sum\limits_{k=1}^{c} ____ _________ _____ _____ ______ ______ _______ _______ __________ ____.
____ __________ _______ _______ ________ _____ ___.
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