k-means clustering is done and created 5 optimal number of clusters. (Clustering is done unevenly). While using them in my model, the model is not choosing the exact cluster which has the exact data. This is happening to only some records. For some records it is getting match from wrong cluster even the exact match was there in another cluster.

why this is happening ?

please give me suggestions if anyone know about this.

k-means clustering is done and created 5 optimal number of clusters. (Clustering is done unevenly). While using them in my model, the model is not choosing the exact cluster which has the exact data. This is happening to only some records. For some records it is getting match from wrong cluster even the exact match was there in another cluster.

why this is happening ?

please give me suggestions if anyone know about this and thanks in advance...

k-means clustering is done and created 5 optimal number of clusters. (Clustering is done unevenly). While using them in my model, the model is not choosing the exact cluster which has the exact data. This is happening to only some records. For some records it is getting match from wrong cluster even the exact match was there in another cluster.

please give me suggestions if anyone know about this.

k-means clustering is done and created 5 optimal number of clusters. (Clustering is done unevenly). While using them in my model, the model is not choosing the exact cluster which has the exact data. This is happening to only some records. For some records it is getting match from wrong cluster even the exact match was there in another cluster.

why this is happening ?

please give me suggestions if anyone know about this.

kmeans clustering is done and created 5 optimal number of clusters. 'Clustering is done unevenly'. While using them in my model, the model is not selecting the the exact cluster which has the exact data. This is happening to only some records in the input.

please give me suggestions if anyone know about this.

pred=kmeans.predict(normalize(tfidf_vectorizer.transform([bankfeed.Column_name.lower()])))

k-means clustering is done and created 5 optimal number of clusters. (Clustering is done unevenly). While using them in my model, the model is not choosing the exact cluster which has the exact data. This is happening to only some records. For some records it is getting match from wrong cluster even the exact match was there in another cluster.

please give me suggestions if anyone know about this.