Tagged Questions

The tag has no wiki summary.

learn more… | top users | synonyms

0
votes
0answers
12 views

I have set of data, I would like to understand the threshold for deciding good,average and poor [on hold]

I have a data of different visits of individual products to my website, I would like to segregate these based on a threshold. Currently there is a threshold set for good traffic, bad traffic and ...
-1
votes
0answers
10 views

Viterbi for text segmentation

i have a question concern text segmentation to MWE (tokens) if a i have for example these two sentence: 1- " i read new york times" 2- " the population of india is equal to the population of new york ...
1
vote
1answer
30 views

Why is k-medians typically used with Manhattan rather than Euclidean distance?

K-medians is typically used with Manhattan distance rather than Euclidean distance. Why is this?
-1
votes
0answers
22 views

Which clustering technique to use for mixed data

I want to do segmentation of my customers based on certain attributes. My data contains a mix of categorical (such as industry, products used, risk category, etc.) and continuous variables (such as ...
0
votes
1answer
31 views

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

I am trying to apply graph cut method for my segmentation task. I found some example codes at Graph_Cut_Demo. Part of the codes are showing below ...
0
votes
0answers
36 views

Datasets for market segmentation

What are the gold standard datasets to test market segmentation algorithms with? I'd like to try a few algorithms on known datasets for comparison before I try my own dataset.
0
votes
0answers
29 views

Conceptual question on image pattern representation

I have a basic question regarding pattern learning, or pattern representation. Assume I have a complex pattern of this form, could you please provide me with some research directions or concepts that ...
1
vote
0answers
36 views

Goodness of fit of linear model for Segmentation of GPS positions time series

I have some GPS coordinates series taken in regular time steps and I need to verify whether some chunks of the trajectories fit well as a straight line or not. The aim is to perform segmentation on ...
1
vote
2answers
190 views

Segmentation using cluster analysis in SPSS

I am doing a segmentation project and am struggling with cluster analysis in spss right now. Could you please help me get this answered: How do I determine the quality of the clustering in spss? In ...
0
votes
0answers
25 views

Market Segmentation Test for SEM

I am working with SEM and would like to know how I could conduct a market segmentation test. I am trying the same model on two different samples and would like to test whether it's better to have them ...
0
votes
0answers
25 views

Regression Analysis on Segments (Subsets of Dimensions)

My data has subsets of 8 categorical dimensions that are mapped to a real valued dependent variable. So if my dimensions are X1, X2,.., X8 my data might look like this: (X1=x11, X3=x31, X8=x81) -> r1 ...
2
votes
4answers
586 views

Hints on this computer vision / machine learning problem

I've been working for a while on a pet problem. The task is to identify and segment out the dark lines and possibly the wiggly ones too. I'm not looking for anyone to solve this problem for me...I'm ...
0
votes
1answer
267 views

3-4-5 Rule How to partition the sets?

In Data Mining course, we are taking 3-4-5 Rule to segments the data uniformly. I'm trying to understand these lines below, and how they are linked to the graph below too. If an interval covers ...
5
votes
1answer
126 views

Use a clustering as a segmentation

I ran a cluster analysis on a population of customers. I used variables like: Lifetime Spent amount etc. Now I'd like to use these clusters ('Little buyer', 'Regular fan of the brand A', ...) for ...
5
votes
2answers
851 views

Differences between clustering and segmentation

I have read about piecewise aggregate approximation (PAA) mining time series data, sliding window, top down and bottom up approaches for time series segmentation but these are applicable to single ...
0
votes
0answers
51 views

Error in an article with a conditional probability?

I’ve recently read the article "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere, A. Matsukawa, K. Goldberg, American Control ...
2
votes
0answers
81 views

What form of analysis should be used for loss given default estimates?

I am working on BASEL II IRB models and we have to estimate loss based on historic defaults. There are different outcomes/scenarios we have identified that a default can encounter that will affect ...
1
vote
1answer
170 views

How to perform Normalization on Call Details Record to perform k-Mean Clustering

I'm new to data mining and currently doing mining project on telecom customer segmentation (based on profile and call details record). I have gender, age, call time and call duration and have to ...
1
vote
0answers
143 views

Test for whether a change is different in direction for subgroups?

I have a (large) population on which I randomly split into groups, and subjected one group to an experimental condition (call it change A) which demonstrated a significant improvement in a target ...
3
votes
1answer
272 views

Building separate logistic regression models for each categorical variable

I am building a binary logistic regression model. I am not sure if using the variables as interactions is a better choice than building separate models for level of a categorical variable. Is there a ...
1
vote
1answer
219 views

Using mixed variables in two-step cluster analysis

I need to perform cluster analysis on my data set which includes both continuous and categorical type of variables. Having read around, I think K-Means is not a suitable technique for mixed data. Can ...
0
votes
1answer
157 views

Better machine learning methods for medical imaging segmentation

I am wondering if there are some better machine learning methods for medical imaging segmentation? Currently, I have some relatively low-resolution MRI images and I tried to use histogram and k-means ...
5
votes
1answer
433 views

Hidden Markov Model segmentation of different proportions of binary data

I need to segment a sequence of 0s and 1s by their proportion at relatively large scales. As an example, let's define 5 different states that represent 5 different ratios of 1s & 0s. ...
1
vote
1answer
379 views

Market / Customer Segmentation - Merging two different segmentations

I have a database where each observation is a person. They were questioned on their attitude towards the consumption of X category of product. I have being using K-means to segment this data. I have ...
2
votes
1answer
157 views

Market segmentation based on a time of consumption

I'm an almost graduated applied math student. I do some sporadic work in marketing. I have done a few market segmentation projects. I am soon going to do one which is important to me. I usually ...
2
votes
1answer
274 views

Help on SVM for road image processing

I am new to SVM. I would like to use SVM to segment/cluster/classify a road image into two distinct regions i.e. drivable region and non-drivable region. Unfortunately, I do not have any images where ...
4
votes
1answer
714 views

SVM for Image Segmentation?

I turn to this forum for advice with the following problem. If you could please shed some light on any aspect of this question I'd be very grateful. Problem decription: I'm trying to use an SVM to ...
1
vote
0answers
161 views

Best Practices for Using Geodemographic Segmentation Data

I have a data set that clusters block groups in the US into either 15 broad neighborhood categories or 72 fine-grained segments with goofy names. The segments were constructed using factor analysis ...
6
votes
1answer
222 views

Segmentation of employees

I am working on a determining why certain employees cause errors in a company's process and why others do not. I have the employee information, information about the errors they have made and the ...
0
votes
2answers
435 views

Clustering Survey Responses Based on Dichotomous Responses

I have a set of about ten questions that I would like to use to create groupings from. The responses are all dichotomous (responses are in the form of 1 or 2 where 1 and 2 represent differences in ...