In statistics and data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (least squares).
I have a dataset of 38 apartments and their electricity consumption in the morning, afternoon and evening. I am trying to …
python sorting numpy scikit-learn k-meansI read that the k-means algorithm only converges to a local minima and not to a global minima. Why is …
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python machine-learning data-mining k-means predictionI'm using this script to cluster a set of 3D points using the kmeans matlab function but I always get …
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python scipy k-meansI am trying to calculate silhouette score as I find the optimal number of clusters to create, but get an …
python pandas machine-learning scikit-learn k-meansI am working on implementing k-means clustering in Python. What is the good way to choose initial centroids for a …
python cluster-analysis data-mining k-means centroidThis is a Homework question. I have a huge document full of words. My challenge is to classify these words …
cluster-analysis k-means text-analysisI'm performing a cluster analysis on categorical data, hence using k-modes approach. My data is shaped as a preference survey: …
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