Questions tagged [jaccard-similarity]
Jaccard similarity (or jaccard coefficient) is a similarity function for computing the similarity between two sets
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Event Syncronization among binary variables
Let's suppose I want to study if two event happen approximately at the same time. This is a potential dataframe, I coded as 0 no-event and 1 event
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Measure for difference or similarity between two regions of the plane
Suppose I have a picture and let two people mark regions within it. How can I measure the (dis)similarity of the two marked regions?
More mathematically, suppose I have a (filled) rectangle $A\subset \...
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About LSH (Locality-sensitive Hashing) and MinHashing implementation using jaccard
I'm trying to implement this paper
Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic
I got a couple of questions about the LHS algorithm in ...
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Can I use the masi distance to compare coders where the text document is not exactly the same?
It seems that Passoneau's MASI distance https://academiccommons.columbia.edu/doi/10.7916/D8PV6TTT was meant to grade different judges on the same document. Could I use this distance method to compare ...
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Is the Bray-Curtis dissimilarity/similarity independent of richness/diversity?
I was told about potential issues with the Bray-Curtis dissimilarity/similarity measure. Specifically, I have been asked if Bray-Curtis is independent of richness/diversity. I am unsure how to answer ...
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Clustering of individuals based on their time spent at various points of interest
Consider a set of individuals, denoted by $\mathcal{I}$, and a set of points of interest (POIs), denoted by $\mathcal{J}$ (with $|\mathcal{I} | \approx 10^4$ and $|\mathcal{J} | \leq 50$).
For each ...
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How to determine agreement between two sets?
I have two sets of Ids both drawn from the same background. I'd like to know the appropriate way to compare their similarity. Set A and B are often significantly different in length
eg.
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Are Jaccard score and F1 score monotonically related?
I have compared the rankings obtained by comparing 10+ classifiers with this two metrics:
Jaccard score
F1 score
They show a perfect correlation. This results holds on 50+ datasets. When comparing ...
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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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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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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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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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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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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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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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Similarity between $n \gg 2$ 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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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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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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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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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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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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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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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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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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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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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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Jaccard coefficient (0011 and 1100 most similar?)
I try to compare different binary objects, lets say:
...
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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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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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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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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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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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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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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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