Computer scienceData scienceInstrumentsScikit-learnTraining ML models with scikit-learnClustering in scikit-learn

K-Means in scikit-learn

Training and predicting

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Which of the following sequences of steps represents the correct way to train a k-means model with 4 clusters and use it to cluster new data?

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kmeans = KMeans(num_clusters=4) -> kmeans.fit(X_train).predict(X_test)

kmeans = KMeans.fit(n_clusters=4, X_train) -> kmeans.predict(X_test)

kmeans = KMeans(n_clusters=4) -> kmeans.fit(X_train) -> kmeans.cluster(X_test)

kmeans = KMeans(n_clusters=4) -> kmeans.fit(X_train) -> kmeans.predict(X_test)

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