Questions tagged [classification]

Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

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how to classify input image using clustering algorithm such as k-mean?

I want to classify cifar10 images using a clustering algorithm (k-mean). Each image in the cifar10 dataset has a label, so, the results must be a set of labels which are corresponding to the test ...
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clustering VS supervised classification, in the case of very small database

I'm trying to classify/cluster subjects according to 4 features in two classes: healthy and sick. Two things to know: I know the labels/classes of each subject + I only have 40 subjects (in total: ...
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896 views

Classification accuracy on multi classes

My target has 5 classes. My testing dataset has an accuracy of about 34%. Can I assume this is a reasonable model purely based on classification accuracy, since random guessing is 20%.
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Class variable, table and chisq.test functions question

1.-I am calculating the probability of default with Chi-squared test Null Hypothesis [chisq.test() function]. 2.- My dependent variable is "default" that has two values: 1 (applicant defaulted on ...
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366 views

Behavior segmentation using DBSCAN, K-means Clustering and time series clustering

I have web UI event data representing various uses case scenarios with multiple data entry points. I would like to build some sort of DBSCAN, K-means Clustering solution to come up with user behavior ...
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Why classification algorithms have very high error?

Let me explain more about my question: I have collected 2000 data as the following: age sex education residence music young male Primary_school east ...
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281 views

Principal component analysis on signal … dealing with replicates

I have a spectrum data (wavelength(x) versus absorption(y)) for 25 unique samples that is almost exactly to the problem presented in this thesis: https://brage.bibsys.no/xmlui//bitstream/handle/11250/...
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212 views

Class similarity coefficient for kNN

In our group we are dealing with misplacement of items and we came out with a method derived from knn, but we are not sure if there is already some place where this was described. The method would be ...
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765 views

How to do classification without class labels?

I am comparing different classification and clustering methods for analyzing my game (called Memori) data. It is about diagnosing kids with VSMD. I have fount a dataset from 1980s with only 2 ...
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1answer
745 views

Poor performance of binary classification with DCNNs

I am trying to create a binary classifier that will assess if a photograph is aesthetically pleasing or not. However, despite various experiments, I am struggling to create something that even reaches ...
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133 views

How to build a MultiLabel Classifier?

Please Someone could help me in my classification's problem ? I have a dataset described by 7 variables (x1,...,x7),i want to build a classifier that would be able to predict the outputs a, b, c for ...
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48 views

SVM Working in information retreival

I have some URLs and i have to extract some features from these URLs to filter out some desired URLs. I have to give input those filtered URLs to SVM so as to classify those URLs as relevant and ...
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852 views

Training accuracy

I am learning how to use classification in Matlab and have a question on calculating the training and testing accuracy. I am testing my data on SVM algorithm. I am using crossval and found two ways of ...
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739 views

ROC / AUC for polynomial Labels

How can I calculate the Area Under Curve for a classifier of a polynomial label in Rapidminer? I could only find a performance operator for binomial labels that provides the AUC value.
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Naive bayes classifier testing vector question

Lets assume that our binary class has five features x1,x2,x3,x4,x5 but the incoming test vector(x1,x2,x3,x4) has only four features .. How would we handle it in the Naive bayes classifier .. Do we ...

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