Questions tagged [distance]
For question regarding distance between distributions or variables, such as Euclidean distance between points in n-space.
82
questions
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0answers
14 views
Cluster based on both positions and similarity scores
I have a dataframe position giving me the x and y positions of 87 points.
I also have a 87 x 87 similarity matrix giving me the pairwise similarity scores between ...
0
votes
2answers
24 views
Estimating time to travel between two lat/longs
I'm trying to create an offline estimator for how long it would take to get from one lat/long to another. Two approaches I have come across are the Haversine distance and the Manhattan distance. What ...
0
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1answer
13 views
learning a distance metric from the output of a knn output
Suppose that someone has trained a nearest-neighbor algorithm based on some unknown metric. I have a large dataset of $N$ observations, and $P$ features. For each observation I am given $K$ indices ...
0
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0answers
13 views
Features Vectors in embedding space
I have a bunch of users, each of them with about 100 features.
My goal is to create an embedded space to compute the "distance" between users.
Also, I want to be able to visualize it with Tensorboard (...
4
votes
6answers
158 views
Distance between users
I want to compute the "distance" between users in order to return the top n similar users, for any given user.
For each user a have a bunch of features.
This is close to a recommendation system, ...
2
votes
1answer
39 views
Coordinate System's influence on $L$ distances (Manhattan and Euclidean)
I don't understand this picture, which says if we change the coordinate system, we would have the same result for $L_2$ distance, whereas, our result would differ for $L_1$ distance.
What does it ...
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0answers
51 views
Implementation of Bhattacharyya distance for filtering images that are far off from their cluster
I need assistance with the python implementation of Bhattacharyya-distance for the below use case:
Here, the polygons P1, P2..Pn refer to the different images where each pixel is represented by 'n' ...
1
vote
0answers
19 views
What is divergence exactly in machine learning?
I know about KL divergence, JS Divergence and clearly know that it is different from the divergence in calculus. I have an intutive feeling of divergence as it roughly compares the closeness of two ...
2
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1answer
73 views
Measuring distance preservation in dimensionality reduction
I am looking to compare the distance preserved during dimension reductions for several techniques. I have read some papers on similar topics here and here.
For example, I would like to use the ...
3
votes
1answer
33 views
K Nearest Neighbour with different distance matrix to each datapoint
I'm wondering if there is library support in python (such as sklearn) for doing KNN on a data set that has a custom distance matrix (positive definite) for each data point (x is a query point, $x_i$ ...
1
vote
1answer
116 views
What does sklearn's pairwise_distances with metric='correlation' do?
I've put different values into this function and observed the output. But I can't find a predictable pattern in what is being outputed.
Then I tried digging through the function itself, but its ...
0
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1answer
39 views
scipy.spatial.distance.mahalanobis return null values for some vectors in python
I am using scipy.spatial.distance.mahalanobis to calculate distance between two vectors but i'm getting null values for some vector I don't know why? null value is possible?
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1answer
71 views
How to measaure the similarity between two series?
I'm confused about how to measure the similarity between two time series with the same length. For example, both time series are 2 hours in length and every 5 minutes a point. I really want to know ...
0
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1answer
22 views
Date transformation for KNN to get distance [duplicate]
I have data set with date features like 01/01/2019 and I would like to use KNN. However, I cannot find a good transformation for dates that has a meaningful distance result for the last feature.
For ...
0
votes
1answer
43 views
Date transformation for KNN
I have data set with date features like 01/01/2019 and I would like to use KNN. However, I cannot find a good transformation for dates that has a meaningful ...
2
votes
1answer
24 views
Positive semidefinite kernel matrix from Gower distance
I have a dataframe with continuous and categorical variables and I want to obtain a kernel matrix for classification. The kernel matrix must be symmetric and positive semidefinite, so that no ...
2
votes
3answers
48 views
Are there algorithms for clustering objects with pairwise distances, without computing all pairwise distances?
I'm looking for a clustering algorithm that clusters objects, by using their pairwise distances, without needing to calculate all pairwise distances.
Normally pairwise clustering is done like this: (...
1
vote
3answers
272 views
Clustering algorithm for a distance matrix
I have a similarity matrix between N objects. For each N objects, I have a measure of how similar they are between each others - 0 being identical (the main diagonal) and increasing values as they get ...
2
votes
3answers
42 views
Match a two items from two different receipts
I have two different invoices or receipts. One is a Purchase order one is something like a receipt(acknowledgement).
Suppose I have ordered(PO) Wine:
White Wine
Red Wine
Rose Wine
And I receive ...
1
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0answers
17 views
Which distance method will account for positions of observations in arrays?
I am trying to figure out the distance method suited for my problem. I have different arrays of the same length. Each position in the array matters.
Let's say ...
each array is representing an image, ...
2
votes
1answer
20 views
Is there a way to cluster words based on how similarly they sound?
I have a list of words for a fictional world I've made (don't judge lol).
My ultimate goal is to generate more words that sound like them through a markov generator, but for now, I'm trying to build ...
2
votes
1answer
52 views
Clustering time series based on monotonic similarity
Context
I am involved in a task of clustering 1500 time series of 500 observations into a few number of clusters. The time series share all the same observed property at different spatial locations, ...
2
votes
3answers
46 views
A metric between trees
I have certain tree structures. I am not an expert in machine learning.
As I would with take KNN, I would calculate distances via metric function and a new data point and the points from the training ...
1
vote
1answer
233 views
Why don't we use Manhattan distance instead of euclidean distance in linear regression?
When I am explaining concept of linear regression to one of my peers, I got stuck in answer this question. Why don`t we use Manhattan distance instead of euclidean distance in linear regression? Can ...
0
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1answer
55 views
How can i use Hellinger Distance on array of different length?
I have to use Hellinger distance to compare arrays that are not of the same length.
Is there a way to do it correctly? Put zero in the missing fields of the shorter array doesn't sound that good to me ...
1
vote
2answers
280 views
How can I implement tangent distance for k-nearest neighbor in python/scikit-learn?
My ultimate aim is to have a function which I can feed into scikit-learn's NearestNeighbor class as a custom metric parameter.
...
0
votes
2answers
158 views
Nearest Neighbors on mixed data types in high dimensions
I would like to be able to use nearest neighbors to attempt to find the most similar samples to a subclass of samples (think treated vs untreated) in a dataset with continuous, categorical, and text ...
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0answers
9 views
How to generate multiple vectors given their distances [closed]
Well, the title says it all. I'm looking for an algorithm that would generate multiple random vectors with given distances between them.
Any suggestions?
1
vote
1answer
187 views
Calculation of distance between samples in data mining
I am confused about a little issue related to distance calculation. What I want to know is, while calculating the distance between samples in classification or regression, is the label or output class ...
2
votes
2answers
270 views
Meaning of axes in a clustering plot
If you have n time series of rainfall measurements every hour (x=time, y=amount of rain), and compute the distance matrix between each pair of time series based on Dynamic Time Warping, and then plot ...
1
vote
1answer
86 views
Minkowski distance with Missing Values
Im currently doing a subject for data science, and have the following point that im trying to understand.
We are looking to calculate distance in data sets where values may not be present. Now i ...
1
vote
0answers
54 views
Proximity distance between two strings
How can I calculate the proximity between two strings
Ex: I need to find all the names in unstructured text and also need to look if there is any given string (i.e 'title') nearby
Input:
'...
1
vote
1answer
26 views
Appropriate similarity measure that highlights symmetrical values of features
I am trying to find an appropriate distance measure that reflects the differences of the vectors seen in the image below:
The green vector is compared with the blue one and the orange one.
Most of ...
2
votes
3answers
198 views
clustering 2-dimensional euclidean vectors - appropriate dissimilarity measure
I've got a set of approx. 50 000 2-dimensional euclidean vectors which are connected with 20 groups, i.e. each group has approx. 2500 2-dimensional euclidean vectors. My data includes endpoints ...
4
votes
3answers
72 views
Distance between very large discrete probability distributions
I have 192 countries where each country has some value for 1 million attributes which sum up to 1 (a discrete probability distribution). For any one country most of the values for the attributes are 0....
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0answers
80 views
advice on distance metric for knn w/image recognition
I'm getting my feet wet with machine learning and am implementing a knn algorithm on a dataset that i've created. I've created a set of images of circles and squares and want the knn algorithm to ...
1
vote
1answer
55 views
Euclidean distance for more than 2 datapoints
I need to compare $n$ 3-dimensional vectors with $k$ 3-dimensional vectors using euclidean distance. Is that possible?
1
vote
1answer
34 views
Euclidean distance for more than two datapoints
I have n 3-dimensional vectors. Is there a way to find distance between all using euclidean distance?
0
votes
1answer
21 views
Voting patterns similarities
I'm interested in any research materials on voting patterns.
I have a data set of how PMs (members of parliament) voted in my country during last couple of years. Each PM has 3 buttons: Yes, No, ...
2
votes
1answer
3k views
How to calculate the silhouette coefficient?
Calculate the silhouette coefficient of point Pi from the above image.
To apply the given formula, how to know which is a(i) and b(i)?
2
votes
1answer
1k views
Knn and euclidean distance
I'm studying the knn classification algorithm.
Why can the euclidean distance be considered a nice measure of affinity between examples ?
In one dimension (1 attribute) this seems correct, but if I ...
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vote
0answers
35 views
Suitability of Jaccard's distance for count vectorized features
I had an assignment in which we had to classify the cuisine and also give back the top-5 recipes based on given input. I did a count vectorization (countVectorize.transformer()) for the following data ...
2
votes
1answer
221 views
How can I measure the similarity between 2 IP addresses? Is there any code to re-use?
I need to measure the similarity of 2 IP addresses. I could not find any sample code in scala or other languages to find the distance between 2 IPs.
5
votes
2answers
1k views
Alternative distance to Dynamic Time Warping
I am performing a comparison among time series by using Dynamic Time Warping (DTW). However, it is not a real distance, but a distance-like quantity, since it doesn't assure the triangle inequality to ...
3
votes
1answer
52 views
Statistically Robust Distance Measure/Metric for comparing more than two network data series
I have about 30 lists of unequal length (some of which are triplicates of the data), corresponding to metrics relating to nodes of different graphs. I want to compare their similarity using a distance ...
3
votes
2answers
1k views
How the squared Euclidean distance is an example of non-metric function?
I am reading a book on Pattern Recognition (by Prof V Susheela Devi and Prof Murty) where in the chapter of data representation 2.3.3 the non metric similarity function is defined as those which do ...
2
votes
1answer
160 views
How to build an encoder using a distance matrix
I have a similarity/distance matrix:
a | b | c
a 0 | 1 | 2
b 1 | 0 | 3
c 2 | 3 | 0
I want to build an encoder/model that learns an n-dimensional ...
3
votes
2answers
97 views
Collection Of Variable Length Sequences and Descriptions: A Search Problem
I have a tough problem and need some advice:
Suppose I have a collection of variable length sequences, many of which are unique -- imagine the moves to a chess game, eg
d4 Nf6
c4 g6
Nc3 Bg7
...
0
votes
1answer
414 views
What are similarity and distance metrics in classification?
I have an assignment to train a model to classify text data, the brief for the assignment mentions that any for any learning model used I have to provide a reasoning for the similarity or distance ...
0
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1answer
131 views
What is the efficient way to generate a similarity score when comparing two face images?
I am working on a face recognition application using deep learning. To plot the ROC curves and do performance evaluation, I extracted the features from the last layer of the deep neural network and I ...
