Questions tagged [metrics]

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BK-Tree intersection

I'm looking to calculate the approximate intersection (proximity under a certain distance) of two sets of points in a discrete metric space. In other words, given a metric space $(M, d)$, subsets $A, ...
2
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0answers
153 views

Quicksort optimal partition

Has the question been studied, how to find the shortest sequence of partition choices so that a quick-sort algorithm can sort a set? To be clear, I'm not interested in quick sort per se, but in ...
3
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2answers
885 views

Min Hamming distance of a given string from substrings of another string

Let $U$ be a small finite set. Consider the following problem: Input: two strings $u \in U^k$ and $v\in U^n$ with $k \leq n$. Output: a (contiguous) substring of $v$ of length $k$ with the minimum ...
3
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2answers
166 views

Are there Similar Distance Binary Error Correcting Codes?

I'm trying to find a low distortion embedding of the trivial metric space into hamming space. It seems this should be doable by using a large set of low dimensional vectors, with approximately equal ...
5
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2answers
150 views

L1 - embeddability of metrics supported on the Hypercube

I am quite new to the area of metric embeddings so this question might turn out to be extremely easy. Consider a metric supported on the edges of a boolean hypercube. By supported I mean every edge ...
0
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1answer
62 views

Define metric for systems of set of points

Given a set of points $p_1, p_2, ..., p_n$ and a collection of sets from $n$ points $S_1, S_2,...,S_m$. The pairwise distance between any three points $(p_1, p_2, p_3)$ satisfies triangle inequality $...
1
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0answers
45 views

Fixed orientation metrics

I am currently working on some computational geometry problems with non-euclidean metrics, and have some trouble on a fact that sounds easy enough, at least intuitively. The fact is as follows: ...
2
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0answers
117 views

Quality measure for clusters of a metric space embedding of a graph?

When evaluating clustering algorithms for networks, we have well-established metrics like Modularity and Surprise for evaluating the quality of the resulting partition. If we then embed our graph (...
4
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1answer
213 views

Is “normalized distance” (as per Li & Vitanyi, Kolmogorov Complexity) a reasonable thing?

In "The Similarity Metric" (Li, Vitanyi, et. al) they define a normalized distance (or similarity distance) as a function $\Omega \times \Omega \to [0,1]$ which is both symmetric and satisfies the ...
19
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2answers
779 views

Axioms for Shortest Paths

Suppose we have an undirected weighted graph $G = (V, E, w)$ (with non-negative weights). Let us assume that all shortest paths in $G$ are unique. Suppose we have these $\binom{n}{2}$ paths (sequences ...
19
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2answers
1k views

A data structure for minimum dot product queries

Consider $\mathbb{R}^n$ equipped with the standard dot product $\langle \cdot, \cdot \rangle$ and $m$ vectors there: $v_1, v_2, \ldots, v_m$. We want to build a data structure that allows queries of ...
3
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1answer
170 views

Combinatorial algorithm for optimization over semimetric polytope

This question is motivated by the Leighton-Rao relaxation for SPARSEST-CUT. Suppose one wants to find a non-trivial semimetric over an $n$-point space that minimizes a certain linear functional. More ...
1
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1answer
197 views

Weighted Metric Graph: ratio of sum of wts of edges to the wt of MST

I am working on complete metric graph (V,d) where shortest distance is used as metric. The question is how large can be the ratio of the sum of weights of all edges to the weight of the MST (minimum ...
27
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1answer
2k views

Isometric embedding of L2 into L1

It is known that given an $n$-point subset of $\ell_2^d$ (that is, given $n$ points in ${\mathbb R}^d$ with Euclidean distance) it is possible to embed them isometrically in $\ell^{n\choose 2}_1$. ...
2
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0answers
103 views

Does kd-tree search look at more leaves in L1 than in Lmax ?

Dear theorists and experimenters, I find that kd-tree search looks at many more leaves in $L_1$ than in $L_{max}$ ($L_\infty$). Does anyone else see this ? If so, why ? (An $L_1$ simplex of volume 1 ...
5
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2answers
336 views

How to calculate this string-dissimilarity function efficiently?

Migrated from stackoverflow. Hello, I was looking for a string metric that have the property that moving around large blocks in a string won't affect the distance so much. So "helloworld" is close ...
17
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4answers
699 views

Applications of metric structures on posets/lattices in theoryCS

Since the term is overloaded, a brief definition first. A poset is a set $X$ endowed with a partial order $\le$. Given two elements $a,b \in X$, we can define $x \vee y$ (join) as their least upper ...
10
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1answer
826 views

$\epsilon$-nets with respect to the cut norm

The cut norm $||A||_C$ of a real matrix $A = (a_{i,j}) \in \mathcal{R}^{n\times n}$ is the maximum over all $I \subseteq [n], J \subseteq [n]$ of the quantity $\left|\sum_{i \in I, j \in J}a_{i,j}\...
7
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2answers
220 views

Counting Metrics

Say that I have a set of $n$ points $N$, and am interested in metrics $d:N\times N \rightarrow \mathbb{R}$ over $N$. Let $M$ denote the set of all metrics over $N$. Now let me define the distance ...
7
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4answers
962 views

Deciding whether a metric is a tree metric

An n-point metric space is a tree metric if it isometrically embeds into the shortest path metric of a tree (with nonnegative edge weights). Tree metrics can be characterized by the 4 point property, ...
4
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1answer
308 views

Extracting Independent Information About Sequences

Related to this question, but asked in a different way. For the purposes of a text-based implementation of a fuzzy vault, what metrics can we take on Sequences that are isolated such that the set of ...
10
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1answer
382 views

In domain theory, what can the extra structure present in metric spaces be used for?

Smyth's chapter in the handbook of logic in computer science and other references describe how metric spaces can be used as domains. I do understand that complete metric spaces give unique fixed ...
11
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4answers
456 views

Dimensionality reduction with slack?

The Johnson-Lindenstrauss lemma says roughly that for any collection $S$ of $n$ points in $\mathbb{R}^d$, there exists a map $f:\mathbb{R}^d \rightarrow \mathbb{R}^k$ where $k = O(\log n/\epsilon^2)$ ...
20
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3answers
388 views

Property testing in other metrics?

There is a large literature on "property testing" -- the problem of making a small number of black box queries to a function $f\colon\{0,1\}^n \to R$ to distinguish between two cases: $f$ is a ...