Questions tagged [jaccard-similarity]

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

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Clustering - Distance Metric for Comparing Short Lists of Terms (non-repeating, no frequency)

Clustering involves using some distance or similarity metric. What is the best way to score the similarity of these small sets of words? Criteria: These are technical terms which are extracted from ...
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String distance equations for fuzzy-matching person names

A reproducible example with a small bit of R code is available in this stackoverflow post (link so I dont need to re-type out the code). The fuzzytext library in R ...
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Is Jaccard similarity/distance suitable for non-binary, quantitative data?

I have a dataset with each row a country and 10 columns with numerical features like GDP,Electrcity consumption, GNI etc. I am trying to use distance metrics to find similarity between the countries ...
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What's the advantage of cosine distance over Jaccard distance for text document similarity

We usually use cosine distance as the similarity measure for text document. However, Jaccard distance also somehow make sense to me. My question is for text document, is there any advantage of using ...
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1answer
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Difference between an interaction and combining two variables into one with a similarity measure?

Conceptually, what would be the difference between interacting two variables in a regression and combining these two variables into one via a similarity measure? I'm looking at top managers and boards ...
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61 views

Performance of model decreases when calculating Euclidean distance between vectors with TF.IDF weigths compared to TF weights

My problem in short: I use Jaccard similarity, cosine similarity and euclidean distance to compute a similarity between documents. The documents consists of either the words,hashtags or combination of ...
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Does it make sense to average Jaccardian indices?

For example, here is a Stackoverflow question: https://stackoverflow.com/questions/2035326/computing-degree-of-similarity-among-a-group-of-sets Here, the asker is trying to calculate the similarity ...
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Jaccard/binary (dis)similarity calculation to multidimensional scaling analysis

I have n N x n dataset of features (n) and subjects (N) in which I am attempting to cluster into a lower-dimensional space via multi-dimensional scaling. I'm confused about which MDS setup I need to ...
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How to estimate the convolutional representation of a graph from its similarity to other graph convolutional representation?

Suppose we have two graphs A and B disconnected to each other (let's say 2-hops each), within a larger graph. If the Convolutional representation of graph A is known, is it possible to estimate the ...
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53 views

Jaccard Similarity Index

I am working on a study where I am testing whether individual species that I observed or didn't observe (presence/absence of observing species A on each survey) during drought and non-drought (...
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8 views

Weighted_Precision_Score

I am looking for a way to quantify the performance of multi-class 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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Is there a way calculate a gradient of dissimilarity across multiple sites using presence/absence data?

I’ve been trying to come up with a metric for species (dis)similarity for fish in a series based on presence or absence data that gives a value of 1 or 0 for each lake. From my research, it seems like ...
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70 views

How to create a “similarity index” on a set of variables

I have a set of 12 variables that describe the dwelling characteristics. 10 of them are dummies (i.e questions like "does the dwelling have a bath?" or "is there crime in the area?"), while one is a 4-...
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52 views

distance metric for student course schedules

I'm doing an exploratory clustering analysis of student course schedules at a college. Interpretability by humans is paramount: we're trying to inform future research questions and possibly ...
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1answer
600 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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1answer
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Similarity between n >> 2 binary vectors

I have $n$ binary vectors $x_i, ..., x_n$ of length $d$. I wish to compute a similarity measure between all $n$ of them. My initial thought was to use the Jaccard Index, since each binary element $x_{...
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1answer
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jaccard distance if one samples is a subset

I have a very basic question but I cannot find an answer (especially for a clustering situation). I am trying to do hierarchical clustering of samples using jaccard distances. One sample contains ...
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Addressing “Unbalanced Features” or Feature Taxonomy for Nearest Neighbor / Similarity Calculations

The main question is how to address an imbalance in representation of feature "sets" when calculating similarity. I'll motivate with an example scenario: Suppose we have objects described by a binary ...
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Unique Jaccardian Distance?

Hi I have a dataset that could be simulated using: ...
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Can I use Manhattan distance on binary data for hierarchical clustering?

I understand that classically Jaccard and Hamming work best with binary data, but is there anything specifically wrong with using a Manhattan distance instead with the complete linkage function?
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Estimate Jaccard similarity based on a sample

The Jaccard similarity of two sets, $A$ and $B$, is defined as: $Jaccard(A,B)=\frac{A\cap{B}}{A\cup{B}}$. Say that I only have a sample of $P\%$ of each of the sets: $A'$ and $B'$. What would be a ...
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251 views

Measure similar to Jaccard index but comparing more than two groups at a time

I am interested in looking at the amount of sharing between several samples (each represented as a vector of character strings), and to do pairwise comparisions, I have been using Jaccard indices. Is ...
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1answer
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Calculating Jaccard similarity in R: all duo combinations for multiple groups and creating a matrix or cluster plotting with the index [closed]

I have been trying to compute Jaccard similarity index for all possible duo combinations for 7 communities and to create a matrix, or preferably Cluster plotting with the similarity index. There are ...
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How do I calculate the Jaccard distance for normal distributions?

I'm trying to replicate the results in this paper. I'm stuck at this part: specifically, calculate Jaccard intersection of pdata1 & pdata2 Is there some neat ...
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1answer
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What is the significance of the Jaccard similarity score?

I understand how to calculate the jaccard similarity , but never quite understood the logic behind why are we calculating it. How does it show the similarity between two sets? What relation exactly ...
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Correlation of continuous-time series

I have two continuous time series of discrete events. The data from them are timestamps of occurences, e.g. ...
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1answer
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Measuring similarity of observations (non numeric)

I have a dataset of format : day,measurement1,measurement2 1,a,b 1,a,c 1,f,s 2,a,b 2,a,c 2,f,g 3,a,d 3,a,q 3,f,s In this example day1 is more similar with day2 ...
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Calculating Similarity between two multiset

I need to find similarity between two multiset. For example, $$A = \{a, a, b, c, d\}$$ $$B = \{a, b, b, d\}$$ I know that I can use Jaccard Index but it gives same weight for each element. As ...
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Dummy data clustering: OK to apply Euclidian distance hierarchical clustering on Jaccard similarity matrix?

I created dummy variables (binary data) from categorical variables where I want to partition N subjects into multiple classes by some clustering method. I created a Jaccard similarity index matrix for ...
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44 views

Similarity between bar plots (counts of categories)?

What are the best ways to compare (calculate similarity) between two bar plots? For example: ...
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3answers
4k views

Similarity measures for more than 2 variables

If I have two binary variables, I can determine the similarity of these variables quite easily with different similarity measures, e.g. with the Jaccard similarity measure: $J = \frac{M_{11}}{M_{01} +...
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1answer
449 views

Interpretation of Jaccard similarity for binary networks

Given two undirected networks with the same amount of nodes defined by $A_{ij}^1$ and $A_{ij}^2$, we take the unique unordered pairs $(i, j)$. After sorting them, we then have two binary vectors $\vec{...
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How to statistically validate that one clustering technique is more effective than other on Binary data

Problem statement - Idea is to cluster students based on their assessment pattern and score. Data = I have a data set that contains Binary data of students answers(Correct/incorrect) which i have ...
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How to form clusters when features are sets of string objects

I am building a movie recommender. But unlike common recommender from movielens data, features of my movies are sets like actor list, genre list, list of producers and writers etc. I know I can use ...
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2answers
343 views

Detecting misclassified data points using distance matrix

I have a data set of around 65,000 items from a public database that have each been assigned to one of around 1,800 classes, but unfortunately I am aware that quite a few are misclassified. My goals ...
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Jaccard similarity coefficient vs. Point-wise mutual information coefficient

Can you explain the difference between the Jaccard similarity coefficient and the pointwise mutual information (PMI) measure? It would be great if you could add a few examples.
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Accuracy vs Jaccard for multiclass problem

TL;DR For a multiclass problem, is Jaccard score the same as accuracy? Update March 29, 2019 The wrong implementation in scikit-learn is now fixed with pull request #13151. Hooray! P.S. The lesson ...
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Threshold value for nodes similarity

I am working on an algorithm for community detection on complex systems, where those systems are modeled as graphs. To form community i need to find similarity between nodes. I am using Jaccard ...
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424 views

Jaccard coefficient (0011 and 1100 most similar?)

I try to compare different binary objects, lets say: ...
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2answers
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How to compare a Ranked List?

I have 50 products. For each product, I identify 3 related products (1 top related, 2 (partially related, least related)) using similarity measures. I want to compare the ranked list generated by my ...
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808 views

Jaccard similarity of sets with approximate element matching

Consider two sets like this: A = {'hello', 'world'} and B = {'Hello', 'helo', 'goodbye'}. I want to measure the similarity between these two sets. There are two levels to this problem: Comparing ...
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1answer
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NMDS from Jaccard and Bray-Curtis identical. Is that a bad thing?

The dataset is ecological (species abundance), where I am calculating distances between 51 sampling sites, based on abundances of 3200 species. The species abundance values go up to 2700, and the rest ...
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1answer
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Jaccard distance vs Levenshtein distance for fuzzy matching

My data is similar to the following data, but far bigger and more complex. Apple Banana Those fruits Tomato Cocumber These vegetables I would like to get the ...
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What are the difference between Dice, Jaccard, and overlap coefficients? [closed]

I come across three different statistical measures to compare two sets, in particular to segmentation on images (e.g., comparing the similarity between the ground truth and the segmented result). ...
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I want to find similarity for 20 organisms on 25 parameters? How to do this ? Any software is available for this? [closed]

How to find similarity for 20 organisms on 25 parameters? How to do this ? Any software available for this?
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232 views

Find similarity score between multiple items based on tags assigned to them

I am working for a client who is in e-commerce. They have thousands of offerings and each has its own set of tags. Now, they want to find similar designs dynamically based on the item selected by the ...
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324 views

Statistical Interpretation of Average Pairwise Similarity

I have assembled binary vectors (0/1 for all elements and equal weight and arranged in time order) that have been separated into different cohorts where a unique event of interest occurs. I have ...
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114 views

Similarity measures and document length

I have an application where I need to measure the similarity between the (TF-IDF?) representation of two documents: $\mathbf{a}$ and $\mathbf{b}$ while still taking the document length into account. ...
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Numerical Similarity Measures for Dirty Data

I need to compare two datasets to see if they are "similar" in terms of numerical similarity between given columns. The problem is, however, that I do not know the characteristics of the 2nd dataset. ...
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Significance Test for Jaccard Distance

I am looking for a significance test for the Jaccard Distance (JD). As an example, I have two datasets as follows: Baseline: $\left| A\bigcap B \right|=57;\ \left| A\bigcup B \right|=275\quad \...