Questions tagged [similarity]
The similarity tag has no usage guidance.
0
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1answer
14 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 ...
0
votes
1answer
18 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
votes
3answers
47 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
votes
1answer
22 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?
-1
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0answers
17 views
graph based clustering with different attributes on vertices and edge proximity
I would like to apply a clustering based approach on a graph oriented problem where vertices do have a set of attributes in addition to another attribute on the edges. The vertices are people and ...
2
votes
1answer
38 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
56 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 ...
1
vote
0answers
36 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 ...
0
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0answers
19 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 ...
2
votes
1answer
29 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
votes
3answers
41 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
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0answers
24 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 = ...
3
votes
1answer
29 views
Calculating similarity where order matters
How can I calculate a similarity (coefficient) where the order of the items matters and something like the Jaccard index would not be useful.
Specifically, I'm interested in comparing ingredients. ...
1
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0answers
38 views
python - Identify variable in similar sentences
I'm looking to solve the following problem: I have a list of similar sentences as my dataset, and I want to be able to type a new sentence, which is also similar to the sentences in my dataset and ...
0
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0answers
28 views
Learning similarity of representations
I am interested in a framework for learning the similarity of different input representations based on some common context. I have looked into word2vec, SVD and other recommender systems, which does ...
1
vote
1answer
21 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 ...
0
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0answers
14 views
Keras Embedding Recommendation example (You opened Topic-555. Here are similar topics?..)
Not Movie recommendation, nor user based rating system..
Could you lead me an example/tutorial in Keras for a text-content-based similarity engine? The proper name called embedding?
Briefly, I am ...
1
vote
2answers
64 views
How can I find similarities in two graphs?
Let's say that I have two 1 dimensional arrays, and when I plot the two arrays they look like this:
If you look at the top and bottom graphs, then you can see that the highlighted parts are very ...
2
votes
0answers
16 views
Measure of variety within list/cluster
I have a dataset of about 53000 points. It has been clustered twice, based on two sets of unrelated attributes. For the first clustering (clustering 1) I used DBScan, and it ended up with about 700 ...
0
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0answers
17 views
Quantify similarity between 2 multivariate time series samples
I am looking for methods to analyze the similarity between 2 multivariate samples of a time series data. I have tried and analyzed KS test, euclidean distance and correlation based methods. What are ...
-1
votes
2answers
32 views
Similarity measure before and after dimensionality reduction or clustering
I have a dataset with 500 000 samples, each sample contains 30 features.
The values of the features are in the range 0.0 to 1.0.
...
1
vote
1answer
23 views
How to find correlation between time-series of different units?
I have 3 time-series data.
NDVI(normalized difference vegetation index) mean
Precipitation
Temperature
All of these have their own unit.
Now I want to find similarity/correlation between NDVI and ...
1
vote
0answers
34 views
Sliding cross-correlation [closed]
I want to understand Timeseries shape similarity algorithm ( Shape-based distance aka SBD). I can't understand the statistics behind it and why it is better than DTW or other similarity measure. I'm ...
2
votes
1answer
12 views
When I would use a specific similarity coefficient over another?
Like using Jaccards over Dice.
I want real examples, of when I would prefer to use Jaccards, Dice, Cosine or any other similarity coefficient.
1
vote
1answer
59 views
Find all potential similar documents out of a list of documents using clustering [closed]
I'm working with the quora question pairs csv file which I loaded into a pd dataframe and isolated the qid and question so my questions are in this form :
...
0
votes
0answers
43 views
Normalizing Jaccard similarity scores in relation to differences in document length
The Jaccard similarity of two documents A and B can be defined as the size of their intersection (how many tokens are in both docs) divided by the size of their union (total number of tokens found in ...
2
votes
1answer
34 views
Similar students using Machine Learning
I have a student performance data, where I have marks of various subjects for the students and I want to find similar students with good marks in a particular subject using machine learning.
How do I ...
4
votes
2answers
136 views
how to apply similarity algorithm(or comparision) of over one million vectors with other one million vectors?
How can I apply similarity algorithm (or comparison) of over one million vectors with another one million vectors?
I am following this pyimage search tutorial but don't know how to scale up the ...
0
votes
1answer
50 views
Assigning a new document to a cluster based on keywords extracted and tf-idf
I have about 40 clusters of documents defined by a combination of k-means clustering algorithm and hand curation. For example, some of the clusters given by k-means are too noisy so they have been ...
1
vote
0answers
20 views
How to check the similarity between two transition matrixes
I have two transition matrixes in which the probabilities for the transition between each from state to each to states are ...
1
vote
0answers
46 views
How can I select a similarity threshold value for strings?
I have several large data sets of names (i.e., individuals, groups, and companies) where there is a lot of similar, but not quite the same data. For example, a corporation might be listed as "Acme ...
0
votes
2answers
100 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 ...
0
votes
2answers
79 views
Use text similarity (cosine) instead of machine learning to classify companies into industries
I am building an industry classifier. I.e. classifying companies into industries based on a company's description. Each company can only have one industry.
I took 2000 companies and assigned them ...
1
vote
3answers
61 views
How to find similarity of two series over time containing periodic trends?
Considering the data is received from a streaming source each second.How to distinguish if both the line graphs 'look' same/different in real time, statically, like the picture given below
Edit:
1....
1
vote
0answers
16 views
Best way to find dissimilarity in a 6x2 DataFrame?
I'm new to data science and am currently learning different techniques that I can do with Python. Currently, I'm trying it out with Spotify's API for my own playlists.
The goal is to find the most ...
0
votes
0answers
13 views
Efficient Similarity Indexing and Searching in High Dimensions
I found this recent document, containing simple algorithm that properly indexes high dimensional vectors for binary search later.
Algorithm basically uses random partition forest that randomly ...
1
vote
1answer
23 views
Identifying documents similar to specific clusters
Through performing clustering on a set of 1,000,000 text documents, I have identified 100 clusters. I am particularly interested in, say, 10 of the clusters. Imagine, I now have an additional set of ...
1
vote
1answer
37 views
Recommender system that connect users with each other , should I go for content based or collaborative filtering?
I am trying to build a system where user come on the platform and he chooses a topic(predefined few topics) and then we connect him with any random online user who chooses the same topic. Then they ...
0
votes
1answer
511 views
Similarity of Dictionaries Using Cosine Similarity
I'm trying to use Cosine Similarity in Python to compare users, but can't seem to get it quite right.
...
1
vote
1answer
1k views
Adaboost vs Gradient Boosting
How AdaBoost is different than Gradient Boosting algorithm since both of them works on Boosting technique?
I could not figure out actual difference between these both algorithms from theory point of ...
3
votes
1answer
244 views
Creating similarity metric with Doc2Vec and additional features
I have a dataset which contains many features. Each record is company that has many features.
For example...
Company A:
Keywords - data, big data, tableau, dashboards, etc.
Industry - Information ...
1
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0answers
19 views
Can I sum up feature vectors of a user‘s collection?
I want to find items that are similar to items users already have in their collection. Every item has attributes, so I created feature vectors where every element of the vector represents an attribute ...
1
vote
0answers
23 views
Efficient search for a Triples data [closed]
I have a text file which consists of ~10k triples in the format,
Let say I need to extract all the relevant triples for the query "Tom and Jerry likes to play football", with this I am extracting NP(...
2
votes
0answers
221 views
Alternate of TF-IDF
I had used TF-IDF for text similarity but the results were not so good. I tried to implement google universal encoding (tensorflow hub). The results were satisfactory but not upto the mark.
Is there ...
1
vote
1answer
36 views
Significance of log in DCG metric?
I am trying to make logical sense about why DCG is metric is formulated as such but I am not able to understand what's the need of taking the log of (1 + rank) term....
1
vote
0answers
56 views
Counting similarity between two GIT commits
I am writing as part of my master thesis work an analysis of developers' work. I am looking for a new parameters to be consumed in Topological Data Analysis process. I would like to compare a ...
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
0answers
115 views
Siamese Network Triplet Loss for unlabeled images
Hi I am rather new to machine learning so I'm not really sure whether it's possible or not. Right now I'm trying to train a siamese network to identify whether an image is the same or not(by one-shot ...
0
votes
1answer
966 views
Text Similarities: which nlp methods to use?
I have data where there is text for each user A visiting a business B. I want to find similarity between each user using their text.
Question 1: Which NLP method should I start with?
I have tried ...
1
vote
2answers
46 views
Finding best cluster after running K-Means clustering
I have bunch of text which I want to segregate based on semantic similarity. Running through K-Means, I was able to divide the complete text into different clusters.
However, I still need to find ...
