is a system of grouping objects of study or observation in accordance with their common features. The classification problem is a formalized task in which a set of objects (cases), separated in some way to classes.
Questions tagged [classification]
146 questions
11
votes
3 answers
Why transforming the data to a high-dimensional feature space in which classes are linearly separable leads to overfitting?
I read in my book (statistical pattern classification by Webb and Wiley) in the section about SVMs and linearly non-separable data:
In many real-world practical problems there will be no linear boundary separating the
classes and the problem of…
Gigili
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4
votes
2 answers
Guidance/Brainstorming for a mapping/classification problem
I'm quite new to machine learning/data mining and I'm struggling to find the correct path for my problem and would appreciate some guidance or criticism of my proposed solution i.e. is there a better/simpler algorithm for the problem?
The Problem
I…
melinnde
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3
votes
0 answers
Grouping clusters using Mahalanobis distances
I need to know the "number of clusters" in a dataaset.
To find the number of clusters, I am using a Gaussian Mixture model fitting,
bear with me,
Because the underlying distributions (each cluster) are not Gaussian, the GM tends to give very bad…
Ali
- 131
- 4
3
votes
1 answer
Support Vector Machine: A non-probabilistic binary linear classifier
I read that SVM is a supervised learning method, it is also a non-probabilistic binary linear classifier. I understand why it is binary because it classifies our training pattern to two classes $w_1$ and $w_2$ which are labeled as $y_i=+ 1$ and…
Gigili
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- 14
2
votes
3 answers
What is a good way to distinguish aircraft noise from other sounds?
The FAA's NextGen routes, which were modeled, not measured, have created a bunch of aircraft noise for tens of thousands of people. I want to make it easy for those people (including me) to buy a cheap USB microphone, plug it into a laptop or PC,…
Jim Showalter
- 131
- 2
1
vote
1 answer
Generate and Recognize Graphical Patterns
I'd like to develop an algorithm for recognizing and generating graphical designs. As an example, consider these examples from one class:
class 1 example 2 http://185.49.85.137/Kave/up/Decorative-Leaves.jpg
Two examples from another class:
I want…
Mehrin
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- 3
1
vote
0 answers
Global partition of image sets using neighbourhood measures
I have the following general problem,
I presuppose an image is the addition of $K$ other images
$$f(x) = \sum_{k=1}^{K} f_k(x)$$
but I don't know what they are.
At each point in an image I obtain $K$ values that represent each of these images, but…
geometrikal
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0
votes
1 answer
Compute ADSR: How? Does it make sense?
I'm writing a Master degree thesis on Instrument Recognition using pyAudioAnalysis. I was wondering if results could be improved by also analyzing the ADSR shape of the samples.
All I find on the internet about ADSR is related to sound synthesis,…
phagio
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