Questions tagged [jaccard-similarity]

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

Filter by
Sorted by
Tagged with
0
votes
1answer
98 views

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 ...
0
votes
1answer
53 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 ...
0
votes
1answer
803 views

Is there a distance algorithm similar to Jaccard distance that handles scalar data?

we have the characteristics and (scalar) values of those characteristics for three (or more) people: ...
0
votes
1answer
7 views

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 ...
0
votes
0answers
14 views

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 ...
0
votes
0answers
18 views

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 ...
0
votes
0answers
10 views

Find the hierarchical clustering based on Jaccard Score

I have an excel sheet where I have String details in one column, substring details in one column and jaccard_coefficient in one column respectively :- ...
0
votes
0answers
26 views

How can I get the similarity and dissimilarity of two real numbers?

I would like to calculate the similarity and/or dissimilarity between two real numbers. The challenge is, we can have multiple types of real numbers. Say for example, Case-1: ...
0
votes
0answers
45 views

Choosing a Clustering Method Using Similarity Matrix of Binary Data (in SPSS via Hierarchical: Open to SAS, R, or Others)

I am working on a (somewhat exploratory) clustering of linguistic attributes for data we are working with. In an experiment, we designed prompts to elicit responses, hoping to prompt some sarcasm use. ...
0
votes
0answers
14 views

Measuring similarity between two objects across multiple categories

I'm constructing a crude measure to gauge the similarity between any pairs of objects across multiple dimensions (or categories (for example, they can be percentages of GDP across economic sectors or ...
0
votes
1answer
62 views

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 ...
0
votes
0answers
14 views

Weighted similarity coefficient for binary data?

I would like to evaluate the accuracy of land degradation maps I have estimated using remote sensing compared against observed field land degradation maps. The maps are classified in a binary way and ...
0
votes
0answers
132 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
votes
0answers
78 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 ...
0
votes
1answer
117 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
votes
1answer
251 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_{...
0
votes
0answers
274 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 ...
0
votes
0answers
242 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 ...
0
votes
0answers
47 views

Similarity between bar plots (counts of categories)?

What are the best ways to compare (calculate similarity) between two bar plots? For example: ...
0
votes
0answers
472 views

Jaccard coefficient (0011 and 1100 most similar?)

I try to compare different binary objects, lets say: ...
0
votes
0answers
294 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. ...
0
votes
0answers
183 views

Selecting kernel or binary similarity measures

Currently, I am facing a choice of encoding some information either in a binary vector or a normalized (Gaussian) floating point vector of the same length. For instance it could be in the format $[ 1, ...
-1
votes
1answer
59 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
votes
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?
-1
votes
1answer
126 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
2