User Samo Jerom

38 votes

4 answers

101k views

Area under curve of ROC vs. overall accuracy

asked Sep 1, 2013 at 10:21

14 votes

3 answers

20k views

Does Neural Networks based classification need a dimension reduction?

asked Aug 21, 2013 at 15:04

11 votes

3 answers

8k views

Does ICA require to run PCA first?

asked May 14, 2014 at 16:09

11 votes

3 answers

4k views

PCA, ICA and Laplacian eigenmaps

asked Oct 10, 2012 at 14:38

10 votes

1 answer

3k views

A valid distance metric for high dimensional data

asked Dec 4, 2014 at 9:50

9 votes

1 answer

10k views

Should PCA be performed before I do classification?

asked Mar 28, 2013 at 14:11

7 votes

2 answers

3k views

Confused about sensitivity, specificity and area under ROC curve (AUC)

asked May 12, 2014 at 15:49

7 votes

3 answers

4k views

How to get a valid distance metric?

asked Dec 3, 2014 at 13:51

6 votes

1 answer

822 views

Quantitative results of cluster analysis

asked Oct 11, 2013 at 13:50

5 votes

3 answers

653 views

How 'deep' is deep for auto-encoders based deep learning?

asked Sep 10, 2016 at 21:24

4 votes

3 answers

5k views

Is linear discriminant analysis (LDA) more likely to overfit than support vector machine (SVM)?

asked Jul 22, 2014 at 22:21

4 votes

1 answer

9k views

How to define the maximum k of the kNN classifier?

asked Apr 10, 2014 at 13:44

4 votes

1 answer

2k views

What exactly the ROC curve can tell us or can be inferred?

asked Mar 19, 2013 at 11:06

3 votes

1 answer

3k views

What are the differences of the Student's T-Test, KS-Test and the MWW-Test?

asked Apr 4, 2013 at 17:35

3 votes

2 answers

2k views

Novelty and Outlier Detection for Multi-label Data

asked Dec 4, 2014 at 17:12

3 votes

0 answers

168 views

Centering for the regression. How to do it properly?

asked Oct 22, 2015 at 9:54

2 votes

2 answers

709 views

Semi-supervised Learning Training

asked Mar 27, 2015 at 13:49

2 votes

0 answers

483 views

Semi-supervised learning vs supervised learning, what are the benefits and limitations?

asked Apr 20, 2015 at 14:44

2 votes

1 answer

585 views

How to measure the similarity of k-means clustering using different datasets?

asked Aug 15, 2014 at 9:28

2 votes

3 answers

593 views

Shape analysis of an object to create features for pattern recognition

asked Nov 15, 2012 at 11:04

2 votes

0 answers

2k views

How to compare the results of two classifiers are statistically significant different?

asked Apr 11, 2014 at 17:10

2 votes

1 answer

4k views

How to interpret the number of k in k-nearest-neighbour classifier?

asked Mar 21, 2014 at 14:56

1 vote

0 answers

1k views

Feature selection methods comparison

asked Jan 29, 2014 at 14:31

1 vote

1 answer

282 views

Better machine learning methods for medical imaging segmentation

asked Oct 23, 2012 at 14:23

1 vote

1 answer

1k views

Scatter plot or 2D histogram for mixture of Gaussian fitting?

asked Jun 13, 2013 at 11:20

1 vote

2 answers

2k views

How to combine the information of two probabilities?

asked Jul 9, 2013 at 9:35

1 vote

1 answer

1k views

Question of unary term (data term) of the graph cut method

asked Sep 22, 2014 at 14:19

1 vote

2 answers

702 views

How many features can we use to avoid overfitting the classification?

asked Nov 24, 2014 at 13:13

1 vote

0 answers

813 views

Parameters tuning for auto-encoders

asked Sep 15, 2016 at 10:22

1 vote

1 answer

2k views

Is there a minimum image size for successful deep auto-encoders?

asked Nov 1, 2016 at 13:00

Stack Exchange Network

34 Questions

Area under curve of ROC vs. overall accuracy

Does Neural Networks based classification need a dimension reduction?

Does ICA require to run PCA first?

PCA, ICA and Laplacian eigenmaps

A valid distance metric for high dimensional data

Should PCA be performed before I do classification?

Confused about sensitivity, specificity and area under ROC curve (AUC)

How to get a valid distance metric?

Quantitative results of cluster analysis

How 'deep' is deep for auto-encoders based deep learning?

Is linear discriminant analysis (LDA) more likely to overfit than support vector machine (SVM)?

How to define the maximum k of the kNN classifier?

What exactly the ROC curve can tell us or can be inferred?

What are the differences of the Student's T-Test, KS-Test and the MWW-Test?

Novelty and Outlier Detection for Multi-label Data

Centering for the regression. How to do it properly?

Semi-supervised Learning Training

Semi-supervised learning vs supervised learning, what are the benefits and limitations?

How to measure the similarity of k-means clustering using different datasets?

Shape analysis of an object to create features for pattern recognition

How to compare the results of two classifiers are statistically significant different?

How to interpret the number of k in k-nearest-neighbour classifier?

Feature selection methods comparison

Better machine learning methods for medical imaging segmentation

Scatter plot or 2D histogram for mixture of Gaussian fitting?

How to combine the information of two probabilities?

Question of unary term (data term) of the graph cut method

How many features can we use to avoid overfitting the classification?

Parameters tuning for auto-encoders

Is there a minimum image size for successful deep auto-encoders?