User JEquihua

89 votes

4 answers

196k views

How to produce a pretty plot of the results of k-means cluster analysis?

asked Jun 25, 2012 at 17:47

18 votes

3 answers

10k views

Predicting count data with random forest?

asked Feb 25, 2013 at 5:37

13 votes

4 answers

28k views

Initializing K-means centers by the means of random subsamples of the dataset?

asked Jun 19, 2012 at 6:14

13 votes

1 answer

7k views

Linear Regression and Spatial-Autocorrelation

asked Sep 12, 2012 at 0:47

11 votes

1 answer

12k views

Optimal number of components in a Gaussian mixture

asked Jul 16, 2012 at 17:55

9 votes

2 answers

452 views

Coupling time series information from sources with multiple spatial resolutions/scales

asked Dec 20, 2013 at 17:59

9 votes

2 answers

2k views

How would one formally prove that the OOB error in random forest is unbiased?

asked Jul 4, 2014 at 14:43

6 votes

1 answer

537 views

Bayesian networks for one-class classification

asked Sep 30, 2018 at 21:44

6 votes

2 answers

5k views

Fuzzy K-means - Cluster Sizes

asked Jul 9, 2012 at 0:58

6 votes

1 answer

9k views

K-means Mahalanobis vs Euclidean distance

asked Sep 21, 2012 at 17:58

5 votes

1 answer

2k views

Growing a classification tree manually

asked Nov 3, 2012 at 16:05

5 votes

1 answer

1k views

Logistic Regression - Bayesian Approach - Assessing Classification Accuracy

asked Feb 11, 2013 at 3:15

5 votes

1 answer

1k views

Bayesian Networks and discretization of variables using K-means clustering

asked Apr 26, 2014 at 4:45

5 votes

1 answer

680 views

Battery of random forest models for each class

asked Mar 12, 2013 at 22:15

5 votes

1 answer

897 views

How to associate the probability output of a Random Forest classifier with reality

asked Apr 9, 2013 at 17:38

4 votes

1 answer

1k views

Model Trees: M5, Cubist - What about the assumptions of the linear models being used?

asked Feb 20, 2013 at 22:21

4 votes

1 answer

1k views

mobForest R Package

asked Jan 25, 2013 at 0:42

3 votes

0 answers

814 views

Random Forest Regression - Coping with extreme values [duplicate]

asked Dec 11, 2012 at 23:36

3 votes

2 answers

2k views

Can you use discriminant analysis to classify new observations into categories generated by a previous $k$-means clustering?

asked Jun 30, 2012 at 0:50

3 votes

1 answer

336 views

K - means cluster always landing right on top of whole dataset mean

asked Jul 6, 2012 at 18:25

3 votes

1 answer

284 views

Market segmentation based on a time of consumption

asked Jun 5, 2012 at 19:51

3 votes

1 answer

6k views

Using conjoint analysis for price elasticity

asked Mar 26, 2013 at 3:48

2 votes

2 answers

705 views

Principal Components and Noise

asked Mar 3, 2014 at 6:01

2 votes

4 answers

403 views

Measuring representativeness of a sample using covariates

asked May 2, 2013 at 15:39

2 votes

1 answer

2k views

Estimation of the signal to noise ratio of an image

asked Jul 6, 2013 at 18:15

2 votes

1 answer

2k views

Calibrating random forest regression

asked Jul 9, 2013 at 13:44

2 votes

0 answers

98 views

What models allow the study of the relation between two sets of variables? [closed]

asked Feb 10, 2015 at 3:37

2 votes

1 answer

662 views

Market / Customer Segmentation - Merging two different segmentations

asked Jul 27, 2012 at 19:12

2 votes

2 answers

576 views

Predictive model for error of another model

asked Dec 17, 2012 at 2:18

2 votes

2 answers

2k views

Image Clustering with K-means - Postprocessing

asked Oct 10, 2012 at 16:38

Stack Exchange Network

35 Questions

How to produce a pretty plot of the results of k-means cluster analysis?

Predicting count data with random forest?

Initializing K-means centers by the means of random subsamples of the dataset?

Linear Regression and Spatial-Autocorrelation

Optimal number of components in a Gaussian mixture

Coupling time series information from sources with multiple spatial resolutions/scales

How would one formally prove that the OOB error in random forest is unbiased?

Bayesian networks for one-class classification

Fuzzy K-means - Cluster Sizes

K-means Mahalanobis vs Euclidean distance

Growing a classification tree manually

Logistic Regression - Bayesian Approach - Assessing Classification Accuracy

Bayesian Networks and discretization of variables using K-means clustering

Battery of random forest models for each class

How to associate the probability output of a Random Forest classifier with reality

Model Trees: M5, Cubist - What about the assumptions of the linear models being used?

mobForest R Package

Random Forest Regression - Coping with extreme values [duplicate]

Can you use discriminant analysis to classify new observations into categories generated by a previous $k$-means clustering?

K - means cluster always landing right on top of whole dataset mean

Market segmentation based on a time of consumption

Using conjoint analysis for price elasticity

Principal Components and Noise

Measuring representativeness of a sample using covariates

Estimation of the signal to noise ratio of an image

Calibrating random forest regression

What models allow the study of the relation between two sets of variables? [closed]

Market / Customer Segmentation - Merging two different segmentations

Predictive model for error of another model

Image Clustering with K-means - Postprocessing