1k 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 ...
1k 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 ...
67 views

### How to group a series of numbers? [duplicate]

Apologies if this is a simple question, this is my first time here, and I am a noob at statistics. I have a series of numbers and I want to find cutoff points that clearly separate, or group, the data....
29 views

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

I have the following data: ...
13 views

### clustering in a histogram [duplicate]

I am using python/numpy to create a histogram as follows: ...
4k 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 ...
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" ...
10k 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 ...
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 ...
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) ...
376 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,...
434 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 ...
774 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 ...