All Questions
Tagged with k-means unsupervised-learning
18 questions with no upvoted or accepted answers
4
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2
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8k
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Missing data in k-means cluster model
I'm working on clustering email addresses using K-means based on their value to and engagement with the company (metrics such as % of emails opened, # of web browsing sessions, etc). I would like to ...
- 41
3
votes
0
answers
548
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PCA explained variance and model inertia
I'm trying to perform a PCA to reduce the dimensionality of my data and subsequently perform a K-Means algorithm.
I initially chose 4 Principal Components because they explain 70% of my variance. This,...
- 63
3
votes
0
answers
410
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When to use K-Medoids instead of K-means
When it's better to use K-Medoids rather than K-Means? Can anybody give some examples of dataset for the same?
- 51
2
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0
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57
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How can I cluster sequential data?
Suppose that I have a sequence of vectors $y_n \in \mathbb{R}^m$ for $n \in \{1, \dots, N\}$. My goal is to divide $y_n$ in $K$ clusters and want my clusters to satisfy the following conditions:
Each ...
- 286
2
votes
2
answers
486
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How to include percentage variables in PCA + K-means when some values are undefined because the denominator is 0?
I'm trying to do customer segmentation by using PCA to reduce dimensionality and then feeding the resulting principal components into a K-means algo to get at the final segments. Some of my variables ...
- 1,554
2
votes
0
answers
114
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Clustering data sitting close to corners of an N-dimensional parallelepiped
I am looking for a method of clustering data that are close to the corners of an $N$-dimensional parallelepiped (but I don't know the vectors spanning it). Is there a good method for finding ...
- 21
2
votes
0
answers
727
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kMeans unsupervised feature learning on multiple layers
I'm trying to develop an unsupervised feature learning pipeline.
I have a train set with 512x512 images. I've extracted 16x16 patches, performed preprocessing steps (normalization and whitening). ...
- 21
1
vote
0
answers
48
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Can K-means put most of the noise in the same cluster?
I am working on clustering text data (very short sentences) vectorized with tf-idf. The data are characterized by high sparseness and the presence of abundant noise (considered here as documents that ...
- 11
1
vote
0
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134
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K-Means clustering technique for monthly data
I have an Unsupervised problem where user's Credit Card payment data is given for each month for various users for one year. One of the feature in the data having "User Id". For most of the ...
1
vote
0
answers
16
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Prerequisites/Checks for performing clustering
What are the checks that should be done on our data before performing clustering? Like how to check whether the dataset contains clusters of equal size/density or the clusters present in the dataset ...
- 51
1
vote
0
answers
94
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How do I evaluate a K-Means unsupervised anomaly detection approach?
how do I evaluate K-means clustering anomaly detection method as there is no labelled data of anomaly class. To find the cluster (K), I have used the silhouette score from Scikit learn library. Scikit ...
- 11
1
vote
0
answers
448
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Cluster validation method for no cluster labels and differently sized clusters
I'm primarily a programmer and have little to no training in formal maths or statistics of any kind.
I'm working on my dissertation (which foolishly is about clustering data), the process is ...
- 193
0
votes
0
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84
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How to save a Higher accurate K-means Model on a unlabelled data based on Any Performance Evaluation Metrics?
I am experimenting on Iris dataset. I am not using the label. I want to save my model based on any Performance Metrics. According to Performance Metrics which model have higher score I am choosing ...
- 51
0
votes
0
answers
1k
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Using Silhouette Score to evaluate different clustering algorithm
I am trying to compare different clustering algorithms on a dataset and compare the model performance. Since the dataset is quite big (56 features), I applied PCA to reduce the number of features to ...
- 1
0
votes
0
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31
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What the difference between clustering methods?
I am focusing on a thesis for introducing clustering methods. Chapter 3 includes hierarchical clustering, partitional clustering and density-based clustering. Meanwhile, chapter 4 is mainly on Self-...
- 111
0
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0
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1k
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Training a neural net as a classifier when there are no labels
I have an ML problem where I have a large data set and in this data set there are N categories. We have no labels. I want to be able to take this data set and use it to train a neural network to ...
- 563
0
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0
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70
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How can I use the results of clustering algorithms for classification
I'm doing a mobile customer segmentation and I was using K-means to cluster my data according to the various data points (location, time of use, duration used for etc). After reading a lot of posts in ...
- 101
-1
votes
2
answers
66
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Unsupervised Clustering
My research is about comparing K-means and DBSCAN, and Im using unsupervised learning method in clustering.
Is it true that the number of cluster in K-means is also the same number as the unique ...
