How to Calculate Cosine Similarity in R

How to Calculate Cosine Similarity in R, The measure of similarity between two vectors in an inner product space is cosine similarity.

The formula for two vectors, like A and B and the Cosine Similarity can be calculated as follows

Cosine Similarity = ΣAiBi / (√ΣAi2√ΣBi2)

Mainly Cosine similarity is used to measure how similar the documents are irrespective of their size.

In other words, It calculates the cosine of an angle formed by two vectors projected in three dimensions.

This tutorial describes how to calculate the Cosine Similarity between vectors in R while using the cosine() function.

The cosine() function can be loaded from the lsa library.

LSTM Network in R » Recurrent Neural network »

How to Calculate Cosine Similarity in R

Let’s create two vectors x and y and assign some values to them.

#create vectors

x <- c(33, 33, 43, 55, 48, 37, 43, 24)
y <- c(37, 38, 42, 46, 46, 59, 41, 50)

#determine the Cosine Similarity

library(lsa)
cosine(x, y)
[1,] 0.9624844

Based on the above result, the Cosine Similarity between the x and y is 0.9624844.

Repeated Measures of ANOVA in R Complete Tutorial »

We can calculate the Cosine Similarity of a Matrix in R

Let’s create x, y, and z vectors and create a matrix.

#define matrix

x <- c(23, 24, 34, 35, 22, 25, 33, 24)
y <- c(10, 10, 22, 26, 16, 22, 11, 20)
z <- c(14, 15, 35, 16, 11, 23, 10, 41)
matrix <- cbind(x, y, z)

#calculate Cosine Similarity

Correlation Analysis in R? » Karl Pearson correlation coefficient »

library(lsa)
cosine(matrix)
      x         y         z
x 1.0000000 0.9561517 0.8761308
y 0.9561517 1.0000000 0.9163248
z 0.8761308 0.9163248 1.0000000

Now you can see the cosine similarity between x, y, and z.

The Cosine Similarity between vectors x and y is 0.9561517.

The Cosine Similarity between vectors x and z is 0.8761308.

The Cosine Similarity between vectors y and z is 0.9163248.

The cosine() function required either one matrix or two vectors needed as input.

How to Calculate Partial Correlation coefficient in R-Quick Guide »

You may also like...

Leave a Reply

Your email address will not be published.

1 + 18 =

error

Subscribe Now