The metric tag has no wiki summary.
2
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1answer
83 views
Is the square root of the symmetric Kullback-Leibler divergence a metric?
It is well known that the square root of the Jensen-Shannon divergence is a true metric, but how about the square root of symmetric KL: D(P||Q)+D(Q||P)? I have reasons to believe that it also is a ...
0
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0answers
12 views
How to integrate edit operations to TF/IDF weighting scheme
Is there a way to integrate edit operations into TF/IDF weighing scheme in order to assign accurate weight to poorly typed tokens?
0
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0answers
50 views
Duplicate detection/classification using TF/IDF and cosine similarity metrics
I am working on text classification using TF/IDF and cosine similarity metrics. In computing the similarity between two records (objects) in a database, TF/IDF assigns weight vector for each record by ...
0
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0answers
20 views
Combining tf/idf with a similarity metric ie edit distance, affine gap of jaro winkler [duplicate]
I am working on combining TF/IDF with a similarity metric such as edit distance, affine gap or jaro-winkler in order to improve its effectiveness.
Thanks in advance for your response.
0
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0answers
37 views
metric on voting data
I'm studying computer science but am lost with statistical methods. An algorithm I've been studying needs a formal metric on the space of our data set.
Our data set can be described as `voting data'. ...
0
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0answers
25 views
Distance metric for survival functions?
Similar to this question, I would like a good metric for the distance between multiple ecdfs. However, in this case I have survival functions that are right-censored.
Question
Is there a metric ...
0
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0answers
106 views
Multidimensional scaling on distance or similarity matrix
Why doesn't the scatter plot change when I perform multidimensional scaling on distance or similarity matrix?
This figure uses similarity matrix
And this figure use distance matrix ...
0
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0answers
94 views
Convert similarity matrix to dissimilarity
What is the equation to convert from similarity matrix to distance matrix?
The similarity matrix uses some "perceptual" metric(from psychology) so it's a little bit different. Can I just use inverse ...
0
votes
1answer
143 views
k-means and different metrics [duplicate]
In presentations of k-means to compute the centroid of a new cluster the Euclidean average seems to always be used. If the similarity metric used is not the Euclidean metric it seems to me this other ...
3
votes
1answer
120 views
What are the use cases related to cluster analysis of different distance metrics?
I'm trying to use different distance metrics like Euclidean, Manhattan, cosine, chebyshev among other distance metrics in my k-means algorithm to calculate distances between the data points and the ...
2
votes
1answer
51 views
Which metric use for problem of clustering spatial data of wind direction and speed?
I have two dimensional spatial (x,y - coordinates of meteo stations) data for small region (so I could neglect the shape of earth globe), for each (x,y) I have one observation of wind direction and ...
1
vote
3answers
198 views
Metric and Clustering Method
I need some suggestions regarding what kind of metric and clustering analysis I should use. I read a lot of posts but didn't get any hints about this type of data.
I have a 3000*5000 matrix, where ...
2
votes
1answer
81 views
What is meant by the term “formal distance metric”?
I am familiar with the idea of metrics in software and I know something about using distance functions in clustering, but I don't really know what is meant by "formal distance metric". What is the ...
6
votes
3answers
859 views
Comparing clusterings: Rand index vs variation of information
I was wondering if anybody had any insight or intuition behind the difference between the Variation of Information and the Rand Index for comparing clusterings.
I have read the paper "Comparing ...
1
vote
4answers
370 views
Is the absolute value of distance covariance a metric?
I'm reasonably certain the absolute value of the distance covariance satisfies
d(x, y) ≥ 0 (non-negativity, or separation axiom)
d(x, y) = 0 if and only if x = y (identity of ...
2
votes
1answer
774 views
Gower's dissimilarity index
I would like to ask a question about Gower similarity/dissimilarity index.
Is it ok to use the Gower dissimilarity measure with Ward linkage clustering?
I was reading that the Gower similarity index ...
2
votes
2answers
148 views
Distance metric and curse of dimensions
Some where I read a note that if you have many parameters $(x_1, x_2, \ldots, x_n)$ and you try to find a "similarity metric" between these vectors, you may have a "curse of dimensioality". I believe ...
1
vote
2answers
233 views
Metric for probability based classification
I am doing a system for classifiying documents. The project demands the use of probability based output. So a sample will have a probability for belonging to each class.
For now I use logistic ...
5
votes
2answers
176 views
Does a distance have to be a “metric” for an hierarchical clustering to be valid on it?
Let us say that we define a distance, which is not a metric, between N items.
Based on this distance we then use an Agglomerative hierarchical clustering.
Can we use each of the known algorithm ...
2
votes
1answer
380 views
Metric to compare models?
Using R, I have developed three models:
linear regression using lm();
decision tree using rpart();
k-nearest neighbor using ...
0
votes
1answer
92 views
What metric should I use to determine a significant effect?
I am not a statistician and hope someone can point me towards the right direction. I have some time series data grouped into three classes like this:
...
1
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0answers
223 views
Where do the distance metrics for the Krippendorff's alpha statistic come from?
The intercoder reliability statistic Krippendorff's alpha is nice because it can be used across many different types of data: nominal, ordinal, interval, ratio, circular, etc. To do so, you just ...
