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41 votes
4 answers
35k views

Vector Space Model: Cosine Similarity vs Euclidean Distance

I have corpora of classified text. From these I create vectors. Each vector corresponds to one document. Vector components are word weights in this document computed as TFIDF values. Next I build a ...
Anton Ashanin's user avatar
35 votes
5 answers
109k views

python numpy euclidean distance calculation between matrices of row vectors

I am new to Numpy and I would like to ask you how to calculate euclidean distance between points stored in a vector. Let's assume that we have a numpy.array each row is a vector and a single numpy....
pacodelumberg's user avatar
19 votes
3 answers
30k views

Calculate Euclidean distance between 4-dimensional vectors

Let's say I have two 4-dimensional vectors (i.e. a and b) as follows: a = {a1, a2, a3, a4} b= {b1, b2, b3, b4} How do I compute the Euclidean distance between these vectors?
user3583442's user avatar
12 votes
3 answers
25k views

OpenCV euclidean distance between two vectors

I want to calculate the euclidean distance between two vectors (or two Matrx rows, doesn't matter). Is there a good function for that in OpenCV?
farahm's user avatar
  • 1,306
11 votes
3 answers
10k views

How to get cosine distance between two vectors in postgres?

I am wondering if there is a way to get cosine distance of two vectors in postgres. For storing vectors I am using CUBE data type. Below is my table definition: test=# \d vectors ...
Anant's user avatar
  • 3,077
4 votes
1 answer
3k views

How to find the closest corresponding vectors between two coordinate matrices?

I have the following problem in Python I need to solve: Given two coordinate matrices (NumPy ndarrays) A and B, find for all coordinate vectors a in A the corresponding coordinate vectors b in B, ...
jjepsuomi's user avatar
  • 4,313
2 votes
2 answers
1k views

Euclidean distance or cosine similarity between columns with vectors in PySpark

I have a Spark dataframe in the following form: > df1 +---------------+----------------+ | vector1| vector2| +---------------+----------------+ |[[0.9,0.5,0.2]]| [[0.1,0.3,0.2]]| |[...
Hilary's user avatar
  • 485
2 votes
1 answer
438 views

Calculating two dimensions Euclidean distance and adding it as a column in the data

I need to create a variable that measures distance from APP. The center of APP is at the coordinates 1440000 east, 12160000 north. I need to make a new column calculating the euclidean distance ...
Alison Meeth's user avatar
2 votes
1 answer
980 views

R: distance between point and line in n-dimensions

I'd like to calculate the distance between a point and a line in any number (i.e., n) of dimensions. An excellent example for 2- and 3- dimensions is found here. Is there a way to generalize this ...
Ken Thompson's user avatar
1 vote
2 answers
194 views

MATLAB short way to find closest vector?

In my application, I need to find the "closest" (minimum Euclidean distance vector) to an input vector, among a set of vectors (i.e. a matrix) Therefore every single time I have to do this : ...
jeff's user avatar
  • 13.4k
1 vote
2 answers
189 views

Vector deltas and moving in unknown areas

I was in need of a little math help that I can't seem to find the answer to, any links to documentation would be greatly appreciated. Heres my situation, I have no idea where I am in this maze, but I ...
dekz's user avatar
  • 805
1 vote
1 answer
643 views

How to generate random uniformly distributed vectors of euclidian length of one?

I am trying to randomly generate uniformly distributed vectors, which are of Euclidian length of 1. By uniformly distributed I mean that each entry (coordinate) of the vectors is uniformly distributed....
SKupek's user avatar
  • 83
1 vote
3 answers
3k views

Distance between multiple vectors

I have two sets of three-dimensional unit-vectors that I would like to get a measure of how similar they are. My current method is to manually calculate the euclidean norm of their difference. An ...
fibbi's user avatar
  • 71
1 vote
3 answers
3k views

Calculate mean euclidean distance of multiple columns dataframe r

I have a dataframe that looks like this: df <- data.frame(text = c("text1", "text2", "text3"), a = c(1,2,3), b = c(2,4,6), c = c(3,6,9)) df For each row I ...
Adriaan Nering Bögel's user avatar
1 vote
1 answer
1k views

Calculate euclidean distance between multiple vectors in R

I'm trying to calculate the euclidean distances between one vector on the one hand and multiple vectors on the other hand using R. So far, I've been following this documentation https://cran.r-project....
MSC's user avatar
  • 23
1 vote
2 answers
565 views

distance measure used to calculate k nearest neighbour

I am reading about k nearest neighbour, and the distance measure given in the example is as below. It says Ri is the range of the i-th component. I am confused about which distance measure is used ...
user4046073's user avatar
1 vote
3 answers
697 views

how to compute the original vector from a distance matrix?

I have a small question about vector and matrix. Suppose a vector V = {v1, v2, ..., vn}. I generate a n-by-n distance matrix M defined as: M_ij = | v_i - v_j | such that i,j belong to [1, n]. That ...
sunjerry's user avatar
1 vote
1 answer
21 views

Euclidean Distance between two vectors in two columns in spark data frme

I am trying to get euclidean distance between two vectors, in different columns in a spark dataframe. i need this operation done on spark. i have spend a lot of time trying to do this, but can't ...
Prabin Shrestha's user avatar
1 vote
1 answer
559 views

Calculate distance between vectors from different Spark dataframes

I have two Spark dataframes: > df1 +--------+-----------------------------+ | word | init_vec| +--------+-----------------------------+ | venus |[-0.235, -0.060, -0.609, ...]|...
red_quark's user avatar
  • 991
1 vote
1 answer
105 views

How to manipulate matrix addition and multiplication for Euclidean distance computation?

I have the following: A = [1 2 3; 4 5 6; 7 8 9]; B = [10 11 12; 13 14 15]; [N1, D1] = size(A); [N2, D2] = size(B); A_sq = sum(A.^2, 2); B_sq = sum(B.^2, 2)'; D = A_sq(:,ones(1,N2)) + B_sq(ones(1,...
Hello World's user avatar
0 votes
2 answers
82 views

How do I build a matrix using two vectors?

So I need to build a matrix of x and y coordinates. I have the x stored in one matrix called vx=0:6000; and y stored in Vy=repmat(300,1,6000);. Values in x are 0,1,2,...,5999,6000. Values in y are ...
belgarion's user avatar
  • 115
0 votes
1 answer
11k views

Euclidean Distance between 2 Vectors Implementation

I working through a few exercises from an academic programing book. The task is to implement 2 vectors and calculate the Euclidean distance between thereof. No this is not Home Work, rather self ...
dcrearer's user avatar
  • 2,042
0 votes
1 answer
4k views

how to calculate Euclidean distance between all rows of a data frame and the last row in r

I have a data frame and would like to calculate the Euclidean distance between all rows and the last row and add the distance value as a new column to data frame using distance function. Do you have ...
say.ff's user avatar
  • 375
0 votes
1 answer
450 views

Weighted Euclidean Distance while Merging Feature Vectors?

I have two groups of features (describing an image, in a machine learning context). The first group A, consisting of 3 features, and group B consisting of 15 features. A = [f1, f2, f3] B = [f4, f5, ..,...
Franc Weser's user avatar
0 votes
1 answer
2k views

MATLAB: Computing euclidean distance in an efficient way?

What I am currently doing is computing the euclidean distance between all elements in a vector (the elements are pixel locations in a 2D image) to see if the elements are close to each other. I create ...
Mike S's user avatar
  • 13
0 votes
1 answer
38 views

assign two adjacent elements in pairwise to compute euclidian, retain stored distance

Purpose Separate x, y, to calculate distance between points, using euclidean function Problem 1 Assign x to first, third, firth, etc element values from moves vector. Assign y to second, fourth, sixth,...
Data Science Analytics Manager's user avatar
0 votes
1 answer
160 views

How to go from a vector to a similarity matrix?

I would like to reconstruct a similarity matrix between two vectors from a vector containing the similarity between each pair of elements in the two vectors. Does anyone know how I could do it? To ...
ben's user avatar
  • 277
0 votes
1 answer
3k views

Euclidean Distance of two vectors with different length

I have a code for calculating euclidean distance like this : for(int j=0;j<inputdimension;j++){ distance += Math.pow((vector1[j] - vector2.get(j)), 2); } and i've an example of data ...
Idham Choudry's user avatar
0 votes
1 answer
121 views

How to speedup my Libsvm vector to std::vector<float> conversion?

Introduction I have a libsvm vector of the form: {i_1:v_1; i_2:v_2;...; i_n:v_n} Where i_j:v_j represent respectively the index and the value. If the value is null then it wont be given any index. ...
Hani Goc's user avatar
  • 2,431
0 votes
1 answer
482 views

What distances measures perform well on content-based Recommendation Systems?

I want to implement a content based recommendation system that provides a list of recommended books based on user input. I`ll be using TF-IDF to determine how important a word is to a given book and ...
John Constantine's user avatar
0 votes
1 answer
99 views

Create n-dimensional random Point given Euclidean Distance

Given a point (p) and a Euclidean Distance (d), generate a random point (m) such that the Euclidean Distance between p and m is d. This is easily to visualise and in 2D where the result set is just a ...
SimSimmer's user avatar
0 votes
0 answers
68 views

Is there a way to calculate Euclidean distance of two vectors by KMeans(BigQueryML)?

Given a table or dataset that holds data for two fields namely V_1 and V_2 and Use Euclidean distance as the distance type to measure distance between the given vectors (https://i.stack.imgur.com/...
Sneak Ferrari's user avatar
0 votes
0 answers
155 views

How can I get the Feature vector value?

I'm doing some project to detect images with a few descriptor and calculate its similarity measure. In this case, I'm using the euclidean distance and I didnt know how to retrieve the feature vector ...
Muzhaffar's user avatar
0 votes
0 answers
187 views

How can I visualize the relationship (distance metrics) between multiple vectors?

I want to calculate the distance between multiple (approx. six) vectors in Python and subsequently I want to visualize the results since the numbers alone do not adequately represent the general ...
blackmamba's user avatar
0 votes
1 answer
19 views

Pairwise Euclidean distance in DolphinDB

I have a matrix that represents a group of column vectors in DolphinDB. Each row is regarded as a component of the vector and each column is regarded as a column vector. For example, the following 3*...
Clyx's user avatar
  • 43
0 votes
2 answers
718 views

How to measure the length of a 2-dimensional path in separate steps

I am a newbie in python. I am stuck by finding the length of a path in 2d. I have no idea what I'm doing wrong. Please help! import math vector1 = v1 vector2 = v2 def length (v): """ Length of a ...
Amber Flynn's user avatar
-2 votes
1 answer
51 views

How to create spaces in a textbox?

I have a vb net program to take a binary value in the image. This syntax produces 111110 on textbox3.text. I want no spaces at textbox3.text 1 1 1 1 1 0 Dim x, y As Integer Dim ...
MHD's user avatar
  • 1