Self-Organizing Map

Front

What is the main purpose of a Self-Organizing Map (SOM)?

Back

Visualization and clustering of high-dimensional data

Front

Which feature of SOM ensures that similar input data points map to nearby neurons?

Back

Topology Preservation

Front

What is the learning method used by Self-Organizing Maps?

Back

Unsupervised Learning

Front

Which of the following is an application of SOM? Predictive modeling, Clustering and pattern recognition, Sentiment analysis, Feature engineering for regression

Back

Clustering and pattern recognition

Front

In the provided solved example, how many output units are present?

Back

2

Front

What is the formula used to update the weight matrix in the SOM algorithm? Options: $$w_j(t+1) = w_j(t) - \eta(t) * (x_s + w_j(t))$$, $$w_j(t+1) = w_j(t) + \eta(t) * (x_s - w_j(t))$$, $$w_j(t+1) = w_j(t) - \eta(t) * (x_s - w_j(t))$$, $$w_j(t+1) = w_j(t) + \eta(t) * (x_s + w_j(t))$$

Back

$$w_j(t+1) = w_j(t) + \eta(t) * (x_s - w_j(t))$$

Front

What is the initial learning rate (( \eta(t) )) used in the solved example?

Back

0.6

Front

Which characteristic of SOM describes the competition between neurons to represent input patterns?

Back

Competitive Learning

Front

Which training sample has the vector (0, 1, 1, 0) in the solved example?

Back

X4

Front

What is a common application of SOM in fraud detection?

Back

Feature extraction and anomaly detection