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Questions tagged [feature-weighting]

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Determine Power in IDW Extension Approach

I am attempting to find the optimum power for spatiotemporal Inverse Distance Weighting. Background... Because this IDW is spatiotemporal (st) I need to define the st variable c in the Euclidian ...
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1answer
52 views

On feature scaling and weighting for clustering

The issue of feature scaling and weighting for cluster formation has been widely discussed in several books and papers as well as several questions (e.g. here ). To my understanting, variable range is ...
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Assigning weights to the features used in content based recommendation

I am trying to make a recommendation engine for book business which has following features associated with the books: Book Region Book Market Segment Publish Date Book Genre Book Type and so on ...
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0answers
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From unsupervised clustering to a weighted average?

I am in the process of writing my master's thesis, and have stumbled (as one often do..) upon an area of statistics that I am not familiar with. My setup is, that I initially have 2 features which I ...
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1answer
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Why wider range for a feature in Machine learning affects training?

I was reading through the Google Machine learning crash course and I can't digest the below point: If a feature set consists of multiple features, then feature scaling provides the following benefits:...
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1answer
32 views

How to weight features when doing text mining?

I have a case where I'm doing text mining over a list of product titles. In particular I want to run a clustering algorithm. But I also have some information about those products that I think can add ...
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2answers
136 views

Number of principal components for PCA [closed]

Which criteria to consider while picking the number of principal components for PCA?
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3answers
583 views

How to describe most important features of ensemble model as list?

I have created 3 different models and output of them is a class probability in binary classification problem. Models are bit different, showing importance from different features. I have of course one ...
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1answer
251 views

Why does Feature Scaling work?

If I take a very basic example where my feature Matrix X is $$ \begin{matrix} 1 & 100 & 0.25\\ 1 & 110 & 0.5\\ 1 & 120 & 0.75\\ 1 & 130 & 1\\ 1 & 140 & 1.25\\ \...
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1answer
29 views

Statistical method(s) to employ to find best features given a number of features [closed]

I am working on an anomaly detection application that uses keystroke dynamics. This is the pool of features that I have to my disposal: hold time = R(i) - P(i) key-up to key-down = P(i+1) - R(i) ...
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1answer
239 views

How to rank features based on an attribute in python? [closed]

I want to rank each attribute based on their ability to influence the dependent attribute(say for instance, "income" ) in the dataset. In R, I have used ...
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How to reweight two datasets so they are the same by deleting members?

So my situation is that I have a large set of events, each of which contains many variables (e.g. mass, length, momentum, colour...). This set of events can be divided into two categorys according to ...