All Questions
7 questions
2
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1
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504
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Can the k-nearest neighbor algorithm tell you how many clusters there are among predictors?
I recently did a short course on machine learning in R and found the k-means and k-nearest neighbor techniques extremely interesting.
Forgive my naivete if this is all wrong, but it seems like the ...
- 2,187
0
votes
0
answers
254
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Classification on aggregate data
I've been tasked with creating a model that can classify individual cases as either something to be flagged or not. However, the training data I have access to is only aggregate data, where each row ...
0
votes
1
answer
125
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KNN and K-means, very different but possible equivalency?
Why does the k-nearest neighbor algorithm and k-means clustering algorithm with $k=1$ act the same?
- 13
1
vote
2
answers
196
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Is it possible to have same result for knn classifier and kmeans?
Could we achieve similar grouping or results for a set of data, if applied with either Knn and k-means
0
votes
1
answer
3k
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In k-means or kNN, we use euclidean distance to calculate the distance between nearest neighbours. Why not manhattan distance?
In k-means or kNN, we use euclidean distance to calculate the distance between nearest neighbours. Why not manhattan distance ?
- 1
2
votes
2
answers
2k
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Why are k-means and k-NN considered simple algorithms in machine learning?
We all know the k-means clustering algorithm and the k-nearest neighbors algorithm: the former is an unsupervised clustering method, and the latter is a supervised learning technique in machine ...
- 742
135
votes
5
answers
175k
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What are the main differences between K-means and K-nearest neighbours?
I know that k-means is unsupervised and is used for clustering etc and that k-NN is supervised. But I wanted to know concrete differences between the two?
- 1,697