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13
votes
3answers
247 views

How can I programmatically detect segments of a data series to fit with different curves?

Are there any documented algorithms to separate sections of a given dataset into different curves of best fit? For example, most humans looking at this chart of data would readily divide it into 3 ...
0
votes
0answers
10 views

How can classification hypotheses be combined for segmentation?

I am the author of write-math.com, an on-line handwritten (mathematical) symbol recognizer. I would like to adjust the software so that it is able to classify complete formulas. I've used a multilayer ...
2
votes
1answer
41 views

Estimating the best length of n-gram

I have a long sequence of words or letters {word1 word2 word3 word1 word1 word2 ..etc}. Lets say we extract all the ngrams (unigrams, bigrams, trigrams, 4-gram, 5-gram ....) along with their frequency ...
2
votes
0answers
17 views

Clustering stream of new customers based on future potential

I need to cluster new customer according to their future potential, but I have only information about their first transaction. I have access to all transactions for the other customers. So I can do ...
0
votes
1answer
77 views

How is survey respondent segmentation based on market opportunity score done in practice?

As per instructions, I have administered a survey to a sample population that for several different "jobs-to-be-done" asks the survey participants to rate the importance of the "job-tobe-done" and the ...
0
votes
0answers
8 views

Merging two different segmentation solutions into one

I have the following problem: two different segmentation analysis to do, one using needs/motivations for consuming a product and one related to general attitudes toward product category and lifestyle. ...
3
votes
1answer
77 views

Controling segmentation process in order to get usable segments

My aim is to create segments based on survey data. This in it self is quite straight forward: I use PCA to extract information from the survey answers, and then ...
0
votes
0answers
13 views

Determining similarity among 4 datasets based on demographic composition

I have 4 data sets and I am trying to determine what is the order of similarity between Set XY and Sets A, B, or C based on audience characteristics (in other words, which site has the the most ...
0
votes
1answer
71 views

Best method to assign new customers to existing clusters after segmentation?

After segmenting customer base using k means algorithm into 5 clusters , how to assign a new customer to one of the existing 5 clusters? Matching just the mean of clusters with values of new ...
2
votes
1answer
42 views

Clustering Consumer data with over 100 variables and 50000 rows each

I am tasked with performing a clustering exercise for a consumer survey dataset with the hopes of finding distinct consumer segments. In the past, I've done it using a variety of techniques- ...
0
votes
0answers
12 views

assigning segment membership between two different data sets?

So, I may/may not be over my head. Trying to figure this out with my limited (but dangerous :) of segmentation. I'm describing my challenge below, simplifying a few factors to describe what I am ...
1
vote
0answers
17 views

Change in distribution of a portfolio of customers

I'm looking for some high-level thoughts on understanding a change in distribution for a portfolio of customers. I have a file with information on a bunch of customers. These customers are purchasing ...
1
vote
1answer
216 views

How to use both binary and continous variables together in K means/Hierarchical clustering in SAS/R?

I need to use binary variables( values 0 & 1) in K means. But K means works with only continuous variables. I know some people still use these binary variables in K means ignoring the fact that k ...
0
votes
0answers
16 views

How to segment/profile users after performing classification?

So let's say that you've used logistic regression with demographic factors to make prediction on user bebaviour (e.g. those who clicked on a particular link v those who didn't) and you are satisfied ...
5
votes
1answer
239 views

Clustering data into bins of variable sizes

I'd like to build a model (in R or excel) that takes in large amount of linear data and segments it into "bins". The linear data is an attribute that reflects what condition that section/record is at. ...
1
vote
1answer
155 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?
0
votes
1answer
65 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
131 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
34 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
43 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
804 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 ...
2
votes
4answers
620 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
596 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
155 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 ...
6
votes
2answers
1k 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
53 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
86 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
252 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
184 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
414 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
241 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
173 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
513 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
474 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
177 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
307 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
978 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
175 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
242 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
587 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 ...