Linked Questions

0
votes
1answer
779 views

k-means for set of integers [duplicate]

I'm not really sure where to begin with this but for a simplified example I have a set of integers: {11, 22, 3, 12, 1, 23, 21, 13, 2} I need to partition these into K=3 clusters with initial ...
0
votes
1answer
860 views

How to do a classification with only one variable? [duplicate]

I would like to classify individuals of a database by a single quantitative variable. Is hierachical clustering suitable to do this? If it is possible, how the algorithm work? If use hierachical ...
0
votes
0answers
28 views

How to infer “groupings” of data points separated alone one dimension? [duplicate]

I have the following data: ...
11
votes
5answers
3k views

How to characterize abrupt change?

This question may be too basic. For a temporal trend of a data, I would like to find out the point where "abrupt" change happens. For example, in the first figure shown below, I would like to find out ...
4
votes
2answers
6k views

Is clustering (kmeans) appropriate for partitioning a one-dimensional array?

I want to group the outcome of a function into 2 (or 3) categories. I have a function efficiency=f(weight,speed,#refueling_stops) that takes 3 input parameters and the output tells me how "efficient" ...
3
votes
3answers
8k views

How to find the number of clusters in 1d data and the mean of each

We have a list of prices and need to find both the number of clusters (or intervals) and the mean price of each cluster (or interval). The only constraint is that we want cluster means to be at least ...
3
votes
2answers
2k views

How do you find a cutting point / strong slope within one-dimensional data

I have one-dimensional data. I want to find possible natural cutting points (strong slopes) within the data. For instance, if the data is ...
11
votes
1answer
2k views

Determining an optimal discretization of data from a continuous distribution

Suppose you have a data set $Y_{1}, ..., Y_{n}$ from a continuous distribution with density $p(y)$ supported on $[0,1]$ that is not known, but $n$ is pretty large so a kernel density (for example) ...
4
votes
4answers
293 views

Identifying a changed spending pattern

I have a list of numbers and I am trying to detect a drastic point difference from the previous numbers and see if the pattern has changed. For instance, x = [5000,5500,6250,4800,3950,7200,5500,800,...
5
votes
2answers
364 views

Grouping similar subjects based on slopes

I am studying the responses of 500 subjects to temperature increase using a linear regression on each degree of temperature (from 10°C to 28°C). Thus, it was possible for me to compute the intercept ...
4
votes
1answer
468 views

Descriptive statistics for dates

I have a series of timestamps (expressed as Unix time) representing certain dates when an event happened. I want to analyze these timestamps to find information such as: average time between events ...
2
votes
1answer
201 views

Detect weak points of change (temperature profile)

I am working on a method to detect a finite set of significant points of temperature change within a data series. Although my first pass does an okay job of detecting significant temperature ...
2
votes
2answers
248 views

Cluster real numbers

I have a set of precise measurements, and what I want to do is count the frequency (how many time it appears) for each value. The problem is that these are very precise measurements and with a naive ...
5
votes
0answers
312 views

Detecting statistically significant clustering of continuous values

I'm working with biological sequence data where each position in the sequence has an associated continuous value. I'm ignoring the sequence content so the data is very similar to a time series with ...
2
votes
0answers
72 views

Detecting discontinuities in irregularly-spaced data

I am running physics simulations. Sometimes a simulation has insufficient resolution and produces discontinuities in the output variables. These are very easy to spot by eye in a scatterplot. I would ...

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