Questions tagged [clustering]
Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
8 questions from the last 30 days
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How to perform k-means clustering without maximising distance between cluster centroids?
K-means clustering naturally minimises the sum of within-cluster distances to each cluster centroid. In oversimplified terms, it achieves $$min \sum_{k=0}^k\sum_{i=0}^n(s_{ik} ) $$ where $s_{ik}$ is ...
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Clustering in 5-point Likert type dataset
I want to cluster the data collected with a 5-point Likert scale. But I couldn't understand which method is more accurate to use. I searched the literature but couldn't find a clear answer. Can you ...
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How to cluster based on x and y coordinates
I am trying to identify rows in groups of points using clustering algorithms. The bigger picture problem I'm trying to solve is to identify shelves given x and y coordinates of products. I can cluster ...
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Should I average data for agglomerative hierarchical clustering (AHC)?
I was conducting an experiment where I measured the response of wheat cultivars to pathogen inoculation. The experiment was repeated three times, with two reps each time. Two disease parameters were ...
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SVD before clustering method (no dimensionality reduction)
Does it make sense performance-wise to apply SVD to a dataset before applying a clustering method? I mean: is there a statistical reason to do such a thing? Does it depend on the method, on the number ...
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Missing values in data set before DBSCAN
My goal is to identify bots and fraudulent users for an application. Ideally, this would be a regression problem where users are rated on a continuous scale. I have 4 tables that cover different ...
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Identify predictors for clustering output?
I have a dataset with variables collected years ago, and many variables collected this year as outcome variables. I want to combine all the variables collected this year to get one outcome, e.g. ...
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Index of spatial variability
I have a geographical area, divided in municipalities. Each municipality has the count of a disease occurrences. The procedure is replicated four times, for four diseases (we can call them A, B, C, D)....
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