Questions tagged [jaccard-similarity]
Jaccard similarity (or jaccard coefficient) is a similarity function for computing the similarity between two sets
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questions
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1answer
17 views
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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0answers
11 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 ...
0
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0answers
30 views
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 ...
0
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0answers
10 views
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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0answers
37 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 (...
0
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0answers
7 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 ‘...
0
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0answers
28 views
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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1answer
46 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-...
0
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1answer
51 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 ...
1
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1answer
497 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 ...
0
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1answer
160 views
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_{...
-1
votes
1answer
91 views
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 ...
1
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2answers
89 views
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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0answers
97 views
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3answers
2k views
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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0answers
360 views
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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0answers
244 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 ...
1
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1answer
4k views
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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0answers
461 views
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 ...
4
votes
1answer
2k views
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 ...
1
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0answers
64 views
Correlation of continuous-time series
I have two continuous time series of discrete events. The data from them are timestamps of occurences, e.g.
...
1
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1answer
43 views
Measuring simmilarity 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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0answers
191 views
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 ...
1
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0answers
371 views
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 ...
0
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0answers
38 views
Similarity between bar plots (counts of categories)?
What are the best ways to compare (calculate similarity) between two bar plots? For example:
...
5
votes
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} +...
1
vote
1answer
440 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{...
1
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0answers
44 views
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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votes
1answer
55 views
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 ...
1
vote
2answers
323 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 ...
5
votes
2answers
2k views
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.
4
votes
2answers
8k views
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 ...
1
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0answers
149 views
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 ...
0
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0answers
403 views
Jaccard coefficient (0011 and 1100 most similar?)
I try to compare different binary objects, lets say:
...
1
vote
2answers
961 views
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 ...
0
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2answers
768 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 ...
2
votes
1answer
2k views
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 ...
2
votes
1answer
6k views
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 ...
11
votes
1answer
12k views
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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1answer
37 views
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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0answers
227 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 ...
4
votes
0answers
314 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 ...
3
votes
0answers
109 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.
...
0
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0answers
271 views
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. ...
2
votes
2answers
2k views
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 \...
3
votes
1answer
410 views
Is the Jaccard Index a function of the number of elements in a list?
I am trying to understand a research result. Imagine 10 different psychological questionnaires 1,2,3,...10 of different length (i.e. number of questions) that are all supposedly measuring the same ...
3
votes
0answers
484 views
Approach to find similarity between two different types of matrices
I'm using the movielens dataset to give recommendations to a user based on genre of the movies.
I have two matrices, one contains the genre the user likes. We are considering user3 for now
I also ...
1
vote
1answer
99 views
How to soften or mitigate vector similarity measure?
I would like to evaluate a similarity between two objects X and Y by comparing a neighbourhood in which they're located.
I construct two sets of nine concentric and equidistant circles with centers ...
2
votes
1answer
367 views
Selecting the number of hashes for minhash? Working with extremely sparse data and want more collisions
I'm attempting to use minhash to generate clusters and similarities, and I am primarily using ideas from these resources.
http://www2007.org/papers/paper570.pdf
https://chrisjmccormick.wordpress.com/...
2
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0answers
1k views
Similarity between sets with different size
is there a distance measure like jaccard for sets with different sizes?
For example A=['a','b','c'] and B=['a','d']
I would like to include the total intersection as well as the order.
The ...
