# Questions tagged [partitioning]

A partition is an assignment of every element of a set into 1 & only 1 subset w/ no empty subsets. A common instance of partitioning in statistics is the partitioning of sums of squares for F-tests.

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### Which type of sum of squares corresponds to the partition of variance formula for two-way ANOVA?

Does anyone have a good reference for the formula for type I and type III sum of squares in two-way ANOVA? I learned the following formula for partition of total sum of squares in two-way ANOVA. Is it ...
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### Partition a vector into equally sized groups

I have a vector of positive numbers x in R and I want to find a way to partition it into k groups so that all the groups have ...
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### Variation partitioning using a large matrix as a predictor

I'm trying to understand the amount of variance explained in a univariate response using multiple community matrices as predictors. The problem is set up as such: I have the measured rate of a process ...
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### n-way contingency tables comparison

I have a dataset containing various methods of splitting data into two groups. The true partition is not known, and I want to compare how similar the respective methods of partitioning are to each ...
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### Should the median intuitively split a dataset into equally sized halves - and should two medians split into equally sized fourths?

I cannot decide if this question is patently silly or actually deep, so figured that makes it a perfect question for Cross Validated. We have a dataset with N ...
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### Label Space Partition Classifier

I am trying to understand this paragraph in Szymanski & Kajdanowicz 2018 regarding the label space partition classifier in scikit-multilearn: Scikit-multilearn provides a partitioning and a ...
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### what is the difference ICC and VPC?

how is intraclass correlation different from variance partitioning coefficients. In some scenarios they are one and the same . But in other scenarios they are different
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### Clustering algorithm with special properties

Let $y$ be a real-valued vector in $\mathbb{R}^p$. Given a dataset $D=\{y_1,\dots,y_m\}$, I want to find every possible partitions $\mathcal{P}=\{\mathsf{w}_1,\dots,\mathsf{w}_m\}$ of $D$ that ...
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### variation partitioning with a GAMM model including an auto-correlation structure in R

I would like to undertake variation partitioning in a GAM framework in R, as described here: https://r.789695.n4.nabble.com/variance-explained-by-each-term-in-a-GAM-td836513.html However, my gam ...
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### Finding the probability of winning on or before n trials? [closed]

I have two teams A and B, the probability that A wins each hole is p, the probability that B wins each hole is q and the probability that neither wins is r. What is the probability of A winning on or ...
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### In this concrete example of applying sklearn knn (with kd_tree) on Iris Data Set, how many partitions are there?

The k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. In both cases, the input consists of the k closest training examples in the ...
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### Recursive partitioning tree vs neural network model

I hope this question helps shed some light on trees vs neural models. I recently came across a model tree, or a recursive partitioning model. It is basically a decision tree that has linear regression ...
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### How is graph clustering performed? [closed]

When we do graph partitioning or graph clustering how does one give the graph as input? Is it by means of an adjacency matrix? What if the graph is very large?
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### Is it compulsory to partition data in training and testing for time series modelling?

Is it compulsory to partition data in training and testing for time series modelling ? The reason for asking this question: Lets say training data= first 80% observation of actual time series data(...
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### Smart sampling to learn a space partitioning

Given a compact feature space, I want to partition the space according to some classification. The first method that comes to mind is to use SVMs. For the classification I have in mind, the space ...
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### Valid to supply unique features to each fold of k-fold Cross Validation?

I have a dataset of n = 55 samples with 300,000 - 600,000 features for each sample. I am trying to train a model (ksvm classification) to predict the class of each sample. N = 26 of the samples are ...
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### Partitioning with cross validation?

I am new to data analytics having only started exploring the field this week. I have downloaded KNIME and am working with a single dataset to try out different classification algorithms. I am ...
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### How to combine partitioned dataset to single dataset?

I have been doing some Machine learning research on Microarray dataset. So, I downloaded breast cancer dataset from "http://datam.i2r.a-star.edu.sg/datasets/krbd/BreastCancer". The problem here is , ...
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### How do loan companies set interest rate tiers?

What statistical or machine learning methods do companies like Lending Club use to segment their customer base into loan grades A1-G5? What would a reasonable partitioning method look like after ...
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### Calculating covariances

Currently I am preparing for my exam. Therefore, we have a sample exam with the answers included. Unfortunately, even with the answers it not all makes sense to me. This is the question with the ...
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### Partition Z-Scores Across Multiple Factors in R

Basic question Is there a way to create z-scores across multiple factors quickly? And how would you do this without creating multiple subsets and rebinding them? Details Basically I am comparing ...
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### Lower bound for Adjusted Rand Index?

From the original paper, it's not clear whether the adjusted rand index has a lower bound. Does it? If so, what partition yields the bound? If now, how can I construct partitions with arbitrary low ...
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### how do you calculate the number of combinations recursive partitioning uses in decision trees?

So I was wondering why random forests limit the levels of a variable to 32 levels, and I found an answer here : R's randomForest can not handle more than 32 levels. What is workaround? My ...