Questions tagged [jaccard-coefficient]

Jaccard coefficient (or jaccard similarity) is a similarity function for computing the similarity between two sets

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Training dice coefficient is increasing but validation dice coefficient remains constant at zero? [closed]

I am training an U-Net model for image segmentation. The model takes RGB (3-channel) images as input and outputs a segmented binary image (2-channel). The model is working well and delivering the dice ...
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per class IOU & Jaccard Similarity in a Multiclass setting python

For a multiclass classification problem, How do you compute per class IOU ? I am using the formula which is referenced/accepted in the below link ...
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Monotonicity of Jaccard and Dice in multilabel datasets

I understand that Jaccard and Dice follow a monotonic relation on binary datasets because the two are related as $J = {S \over {(2 - S)}}$, and I guess this would be the case when micro-average is ...
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What is the state of the art/research metric to compare ellipses but jaccard coefficient?

Im looking for the, if there is one, metric to compare ellipses with each other. Last time a had a similar dataset (malaria cells, now its pupiles) i used jaccard coefficient but that was more because ...
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20 views

Metrics - multi-class model comparisons

I am looking for a way to quantify the performance of multi-class model labelers, and thus compare them. I want to account for the fact that some classes are ‘closer’ than others (for example a car is ...
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12 views

What options do I have for measuring similarities by using vectors generated from texts?

I have a data set which contains vectors generated from subtitles, I want to measure the similarity between each pair of the observation. Now I have tried L1, L2, cosine similarity and Mahalanobis ...
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1answer
334 views

Jaccard similarity calculate similarity

It is not clear to me how to calculate similarity between two products from the example. How do they calculate that?
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1answer
761 views

Jaccard Similarity with Binary Data

I have 5400 rows of data and 3211 columns of attributes. The first 4 columns are ID/Name/ParentID/ObjectType - the rest of the 3207 columns are the attributes that are to be used for similarity ...
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28 views

When I would use a specific similarity coefficient over another?

Like using Jaccards over Dice. I want real examples, of when I would prefer to use Jaccards, Dice, Cosine or any other similarity coefficient.
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2answers
2k views

Similarity of search results using Jaccard

I have a set of search results with ranking position, keyword and URL. I want to make a distance matrix so I can cluster the keywords (or the URLs). One approach would be to take the first n URL ...
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1answer
152 views

Efficiently Sending Two Series to a Function For Strings with an application to String Matching (Dice Coefficient)

I am using a Dice Coefficient based function to calculate the similarity of two strings: ...
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4k views

Jaccard similarity between two items

Calculating similarity between two users is rather straightforward. Consider following example: ...
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974 views

Implementing Frequently bought together using a DB

We have a classic structure of an online shop database (products, customers, sales) and we want to implement a Frequently bought together feature. Our software is in ASP.NET and we do not know PHP to ...