# Questions tagged [data-mining]

Using the techniques of artificial intelligence and machine learning to extract patterns from large data sets and transforming those data into a useful, organized form for future processing.

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### how to create parallel corpora using unstructured big text data in python? [closed]

English Text Data 10.1 Introduction In this chapter, we shall study some common physical properties of liquids and gases. Liquids and gases can flow and are therefore, called fluids. It is this ...
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### What is a range of an attribute in data mining?

In my data mining course, we are working with a data set. I have to identity the ranges of each attribute. I am given the set of data for all 150 points and i am given the visualization (charts) of ...
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### Why is it not always possible to compute the centroid of feature vectors?

Hi in the data mining and machine learning course that I'm taking there is a subject on feature spaces and there is this part about feature vector aggregation and metric spaces that I don't really ...
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### Clustering - Complete Linkage draw example

I'm studying unsupervised learning methods (clustering) and i've seen the Complete Linkage Method. I've also seen the following statement: Unlike single linkage, the complete linkage method can be ...
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### Optimising matketing budget on marketing and sales data

I have a dataset from business where the variables include investment across diferent channels and independent variable is the sales. I have developed a marketing mix model using linear regression to ...
85 views

### Why does the BFR (Bradley, Fayyad and Reina) algorithm assume clusters to be normally distributed around its centroid?

I'm following a course on data mining based on the lectures from Stanford University and the book Mining of massive datasets. On the topic of clustering, the BFR algorithm is explained with this ...
26 views

### Dimension Reduction - Which feature should remove to reduce the dimension of the matrix

Let's suppose that we have the following 2 tables: If we want to reduce the dimension by one(in every table) which feature we should remove and why ? I am confused about the way that i should work ...
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### While computing signature matrix in min hashing, can I take nth row of the permutation P in which document d has value 1?

I am learning about some techniques to find similarity between documents. One of the methods is Min Hashing. According to Min Hashing we can find a signature matrix given a random permutation, P. ...
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### Find plane within margin of error of >50% of points

There are $N < 3\times10^4$ 3D points. At least 50% of them lie approximately in the same plane, i.e. the distance between the plane and each point is at most $p$. Find such a plane. Attempt: ...
19 views

### Difference between Graph clustering and Node clustering

I have confused with Node clustering and graph-clustering, what is the difference? Can anyone help me to distinguish these two properly with small examples?
64 views

### What kind of logarithm does $\log$ mean in Wikipedia articles?

Sorry if this seems like a dumb question, but what what type of logarithm is $\log$ in Wikipedia articles? Cheers.
19 views

### In topological data analysis, do bar codes that begin and end at the same index mean anything?

The typical workflow in topological data analysis is from point cloud data to filtration to a list of bar codes corresponding to each dimension. A filtration is a sequence of simplicial complexes, ...
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### Gramatical evolution doesn't result on creating good constants

I'm using Grammatical Evolution for symbolic regression tasks (i.e. searching the space of mathematical expressions to find the model that best fits a given dataset). I'm evolving solutions according ...