Questions tagged [similarity]
The similarity tag has no usage guidance.
185
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4 views
How to draw a support set when classifying using Siamese networks without performing one shot learning?
How to perform classification on a test set with Siamese networks when I cannot afford to draw the support set from the test set itself?
Possible options which come to my mind are:
KNN using samples ...
0
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2answers
35 views
Question about Similarity vs Dissimilarity Matrix
Right now, I'm working on a coming up with a similarity vs dissimilarity matrix for a set of data points for a clustering algorithm. My question is, if I want to use one of the many clustering ...
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4 views
How to identify similar datasets based on multiple temporal variables?
I have a dataset that describes movie releases, i.e. day by day number of seats allocated to the movie and number of seats sold at different geographic locations. This dataset looks something like ...
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1answer
27 views
Clustering stores based on weekly data
I have 1 year transaction level data aggregated at a weekly level for 1000 different stores. I want to cluster similar stores based on 8 variables such as sales, customer count etc. The concern is ...
1
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1answer
26 views
How to find similar points to a positive set when you don't have any negative set?
The task I'm used to do is the following. A client comes to see me with a set of clients (called positive companies) and he wants me to find other similar prospects. Usually, he also gives me a set of ...
5
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2answers
136 views
Text similarity with sentence embeddings
I'm trying to calculate similarity between texts with various lengths. My current approach is following:
Using Universal Sentence Encoder, I convert text to a set of vectors.
I average these vectors ...
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0answers
13 views
Matching resumes with jobs in a NoSQL database
I have a series of user resumes and would like to find the best matching jobs per resume, the task seems simple at first except I have a nosql db holding the jobs (1m+), my initial idea was to add a ...
-1
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1answer
35 views
Word Embeddings with TFIDF vectorizer
I am a beginner in machine learning.
I have a large corpus of texts, divided into thematic groups. I would like to get idf values for the whole corpus, and then apply it on each group before ...
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23 views
Modifying BERT sentence encodings
I'm using BERT to encode sentences.
The sentences I'm encoding are quite similar, meaning they all belong to the same overall topic. Therefor, I am using another parameter for measuring similarity.
...
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1answer
21 views
Similarity Measure of Simulated Time Series vs Observed time Series
In my work I have an observed Time Series and Simulated ones. I want to compare the Light Curves and check for similarityto find out which simulated curve fits best respectivley which parameters ...
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0answers
13 views
Looking for an algorithm that compute similarity between a phrase and possible combination of tokens
I want to find similarity between a phrase and possible combination of tokens that may form the phrase.
For example, phrase = 'sea surface water'
Possible token = ['sea','surface land', 'surface ...
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0answers
11 views
What options do I have for measuring similarities by using vectors generated from texts?
I have a data set which contains vectors generated from subtitles, I want to measure the similarity between each pair of the observation. Now I have tried L1, L2, cosine similarity and Mahalanobis ...
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16 views
Is it necessary to perform Z-score or Min-Max normalization on L1-normalized data?
I have a dataset which contains vectors that generated from subtitles and have been L1 normalised, I want to calculate cosine similarity & Euclidean distance, I thought it is better if I use Z-...
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0answers
40 views
Similarity Measure Time Series
In my work I have an observed Time Series and Simulated ones. I want to compare the Light Curves and check for similarityto find out which simulated curve fits best respectivley which parameters ...
0
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0answers
14 views
supervised similarity scoring system - recommender system
I have a dataset of movie collections with 10-15 features describing each movie. I also have a dataset of user ratings of the similarity between some random pairs of movies.
Using both of these data ...
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0answers
23 views
What is the meaning of constraint two neural networks against each other?
I have two identical autoencoders with the same number of layers and parameters. I would like to find the similarity between two images from different domains such as an image captured from the camera ...
6
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2answers
67 views
How to compare different similarity measurements in text clustering?
I have a dataset which contains vectors generated from subtitles (each column represents a genre, each row is a movie name), my purpose is to find the most similar movie titles, I want to use ...
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0answers
5 views
How to validate model which outputs movies that are similar with no training data
At a high level, my code takes a wide variety of movie related features and computes a large cosine similarity matrix and assesses which movies are most similar.
I don't have any validation data so ...
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56 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 ...
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0answers
15 views
Measuring the similarity between a numeric data matrix and one or more categorical variables?
Given a numeric data matrix $A$ of size $n \times p$, which each row represents an observation along $p$ variables, and a second categorical data matrix $M$ of size $n \times z$, where each row ...
1
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1answer
109 views
How do I get similarity with autoencoders
I have build an autoencoder to extract from a very high dimensional (200 dimensions) space a smaller but significant representation (16 dimensions).
Now that I have these "encoded" vectors, I would ...
2
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2answers
71 views
How can I find correlation between features?
The problem
I want to figure out how routers correlate between each other. Like, if a specific error occurred in router A, and almost at the same time the error occurs in router B, they probably have ...
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0answers
37 views
Constrained Deep Learning
What are the ways to perform constrained optimization of weights in deep model? I am working on deep similarity learning, and many methods are based on constrained optimization; the vast majority of ...
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39 views
what will be the best algorithm for find similar users based on user features , betwenn knn, euclidian or jaccard?
I have user data table containing user data like university, gender, city, id etc. I also have a matrix data-set like this .
[
1
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1answer
32 views
Predicting similarity between nouns like university names and tech companies?
I am trying to extract entities like university studied at and tech companies from resumes , I have a list of popular universities and companies and I want to find out which university best matches ...
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0answers
11 views
Any there databases with native support for applying a NN model to produce search rankings?
The Situation: I have a simple neural net with an input vector that consists of the euclidean distance between the attributes of two cars. (For example the attributes would include wheel size, car ...
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207 views
Semantic Similarity in Universal Sentence Encoder
I am currently using Universal Sentence Encoder to embed certain sentences which I would then feed to a deep learning model to do some prediction, but just to test whether the universal sentence ...
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0answers
26 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 (...
2
votes
2answers
139 views
Similarity score: Can Sklearn SVR predict values greater than 1 and less than 0?
I am using svm.SVR() from scikit-learn to apply Logistic Regression on my training data to solve a similarity problem. Using GridSearchCV, I am finding the best ...
4
votes
6answers
167 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, ...
1
vote
1answer
25 views
identify similarities in a dataset
I have a dataset of customers:
age height weight eye_colour
30 174 74 Nan
20 191 71 Nan
28 165 56 Brown
...
I would like to ...
1
vote
1answer
27 views
how to match a sentence to a cluster of keywords?
I have a classification problem. I have clusters called 'Experience', 'Education', 'Abilities' . The labelled data (72,000+ entries with all clusters together) with two columns looks like below.
<...
1
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1answer
106 views
Jaccard similarity calculate similarity
It is not clear to me how to calculate similarity between two products from the example.
How do they calculate that?
1
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2answers
30 views
How can I measure if a population has the same distribution as other?
Is there a population similarity index of some kind which could help me determine if two populations in two different datasets are the same or at least similar?
The datasets have the exact same ...
3
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4answers
55 views
Best way to combine two similar document
I have f.ex.: two news-articles that report the same event. However, these two text are similar BUT not the same. I would like to combine these two texts creating one text that contains only the most "...
2
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1answer
239 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 ...
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0answers
139 views
similarity measures for categorical data in data mining
I am working on my assignment in which i have to mention 5 similarity measures for categorical and continuous data in data mining. As a beginner I tried my best and found SQUARE DISTANCE,EUCLIDEAN AND ...
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0answers
15 views
how to get similary of unseen document with whole corpus
I have a trained lda model.now i want to find the new unseen document similarity with the corpus.
...
0
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1answer
16 views
Dissimilarity Matrix of non-metric proximity data
we currently have a coding exercise, where we are asked to implement Constant Shift Embedding (Paper). This in itself is not a big problem. For the algorithm, all you need is a symmetric non-zero ...
0
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1answer
26 views
How can I get an objective measure of song similarity?
I was browsing through ML project ideas and found an interesting one (just the problem statement ) which was: detecting if two songs are similar using lyrics. I found it to be an interesting idea but ...
2
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2answers
125 views
Random-Forest-based Similarity Matrix for clustering: how does it behave?
I am in the following context:
Data: static, baseline health data at the patient level, 40 features, sparse (~ 25 binary features with many 0 or many 1 + other categorical features)
Objective : to ...
2
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3answers
797 views
How to measure the similarity between two text documents?
Assume, I have 100 text documents, and I want to cluster those documents.
The first step is the construct pairwise similarity matrix 100X100 for the documents
My ...
0
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1answer
60 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?
2
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1answer
354 views
How to measure the similarity between two images?
I have two group images for cat and dog. And each group contain 2000 images for cat and dog respectively.
My goal is try to cluster the images by using k-means.
Assume image1 is ...
1
vote
1answer
213 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 ...
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0answers
160 views
Doc2vec most similar document to a query string
I'm working on a project and I created doc2vec representation of different academics which include their patents and publications etc. For each publication and patent I have information such as title ...
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0answers
29 views
Given an input phrase, is there a way I can find the most similar phrase within a document?
I am completing a task where I need to retrieve the corresponding values to a set of given labels from many legal contracts.
For example, one of the labels is "Floating rate payment dates" and it's ...
3
votes
1answer
33 views
Cluster Analysis - Comparing Same Individuals Clustered Across Different Datasets with different features
I have an interesting problem, and I think my Google is failing me since I can't find the same problem anywhere.
I have a set of individuals. I have 4 different datasets, with (some) to (all) of ...
2
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3answers
67 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: (...
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0answers
30 views
Clustering and graphing similarities of sentence subjects
I have a bunch of sentences. Each sentence is given a weight of how "close" it is to a particular subject.
Ex. "I love reading math books" Subjects for the above sentence = ...
