k-means

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Distance Metric for clustering elements in a sparse matrix

I am attempting to cluster approximately 12000 elements based on approximately 1200 binary开发者_开发问答 variables using K-means.None of the conventional distance metrics (euclidean, manhattan, Hammi[详细]

2023-02-16 00:26 分类：问答
How to find coordinates of cluster in k-means

I\'m trying to use k-means clustering on a vector of开发者_运维知识库 type key-values. My question is, how do I set the coordinates of each element in the vector? Specifically the key-value pairs are[详细]

2023-02-15 12:12 分类：问答
K-mean clustering, why different initial positions of the clusters influence on the final clustering result?

I am not sure whether this question is suitable here. Anyway, it seems like people here are helpful. So here is my question.[详细]

2023-02-08 09:22 分类：问答
Should we used k-means++ instead of k-means?

The k-means++ algorithm helps in two following points of the original k-means algorithm: The original k-means algorithm has the worst case running time of super-polynomial in input size, while k-mea[详细]

2023-02-04 19:35 分类：问答
k means segmentation using existing information

so i came across this question which says: You need to identify a moving (red) cricket ball against a green (grass) background. Assuming that both a colour image and an optic flow field are available[详细]

2023-02-03 12:02 分类：问答
Improving k-means clustering

My lecture notes on computer vision mention that the performance of the k-means clustering algorithm can be improved if we know the standard deviation of the clusters. How so?[详细]

2023-02-03 05:46 分类：问答
Fast (< n^2) clustering algorithm

I have 1 million 5-dimensional points that I need to group into k clusters with k << 1 million. In each cluster, no two points should be too far apart (e.g. they could be bounding spheres with a[详细]

2023-01-29 14:20 分类：问答
Getting the index of closest data point to the centriods in Kmeans clustering in MATLAB

I am doing some clustering using K-means in MATLAB. As you might know the usage is as below: [IDX,C] = kmeans(X,k)[详细]

2023-01-29 12:00 分类：问答
Using a smoother with the L Method to determine the number of K-Means clusters

Has anyone tried to apply a smoother to the evaluation metric before applying the L-method to determine the number of k-means clusters in a dataset?If so, did it improve the results? Or allow a lower[详细]

2023-01-22 00:49 分类：问答
How can I perform K-means clustering on time series data?

How can I do K-means clustering of time series data? I understand how this works when the input data is a set of points, but I don\'t know how to cluster a time series with 1XM, where M is the data le[详细]

2023-01-11 18:29 分类：问答