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Results tagged with clustering
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user 122077
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.]
2
votes
1
answer
195
views
What does the denominator in the Adjusted Rand Index mean?
According to Scikit's documentation, the Adjusted Rand Index (ARI) can be defined as:
$$\mathrm{ARI} = \frac{\mathrm{RI} - \mathbb{E}[\mathrm{RI}]}{\max(\mathrm{RI})-\mathbb{E}[\mathrm{RI}]}$$
I don …
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11
votes
1
answer
611
views
How to automatically cluster a U-Matrix?
After training a self-organising map, one can calculate the U-Matrix. There are some tools to manually visualize it and identify clusters, but I'm wondering if there is any algorithm to do this proces …
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5
votes
2
answers
2k
views
How to represent the probability of a point belonging to a cluster?
I want to do a scatter plot with a two-dimensional dataset. Suppose I have only 3 clusters. Then, I could assign each cluster a color of these: red, green and blue. If soft-assignment was made, then e …
- 966
2
votes
2
answers
782
views
Which criteria to use to determine cluster centroids?
I have 3-dimensional datapoints I want to cluster. The idea is to do this in an unsupervised fashion with neural networks for a research project. To see how the system performs I'm trying with dataset …
- 966
4
votes
1
answer
875
views
How is the upper bound for Normalized Mutual Information determined?
Mutual information between two clusterings $A$ and $B$ can be calculated as:
$$MI(A,B)=H(A)+H(B)-H(A,B)$$
In the 10th page of this paper it is stated that $MI(A,B)$ can vary in the range $[0,\min\{H …
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3
votes
1
answer
362
views
Could convolutional networks be used for spike sorting?
Spike sorting consists in clustering groups of signals based on their shapes.
I have always seen convolutional neural networks (CNNs) being used for image classification. …
- 966
5
votes
1
answer
2k
views
Which result for normalized mutual information is correct?
I wanted to find the normalized mutual information to validate a clustering algorithm, but I've encountered two different values depending on the library I use. …
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4
votes
Accepted
Which result for normalized mutual information is correct?
It turns out that the R version uses by default the 'max' variant of the NMI, while Python's uses 'sqrt'.
Doing this in R will yield the same results:
NMI(labels_true, labels_pred, variant="sqrt")
- 966
4
votes
1
answer
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Unsupervised training of CNN
I have some unlabeled 1D (i.e. time-domain) signals (real neuron measurements) that I would like to classify in 3 classes. I would like to use a ConvNet to do this. However, as far as I know, ConvNets …
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