Fréchet Embeddings of Negative Type Metrics

نویسندگان

  • Sanjeev Arora
  • James R. Lee
  • Assaf Naor
چکیده

We show that every n-point metric of negative type (in particular, every n-point subset of L1) admits a Fréchet embedding into Euclidean space with distortion O (√ log n · log log n), a result which is tight up to the O(log log n) factor, even for Euclidean metrics. This strengthens our recent work on the Euclidean distortion of metrics of negative into Euclidean space.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Distance scales , embeddings , and metrics of negative type ∗

We introduce a new number of new techniques for the construction of low-distortion embeddings of a finite metric space. These include a generic Gluing Lemma which avoids the overhead typically incurred from the näıve concatenation of maps for different scales of a space. We also give a significantly improved and quantitatively optimal version of the main structural theorem of Arora, Rao, and Va...

متن کامل

Properties of Sobolev–type metrics in the space of curves

We define a manifold M where objects c ∈ M are curves, which we parameterize as c : S → lR (n ≥ 2, S is the circle). We study geometries on the manifold of curves, provided by Sobolev–type Riemannian metrics H . These metrics have been shown to regularize gradient flows used in Computer Vision applications, see [13, 16] and references therein. We provide some basic results of H metrics; and, fo...

متن کامل

On the Complexity of the Discrete Fréchet Distance under L 1 and L ∞

We study the decision tree complexity of the discrete Fréchet distance (decision version) under the L1 and L∞ metrics over R. While algorithms for the Euclidean (L2) discrete Fréchet distance were studied extensively, the problem in other metrics such as L1 and L∞ seems to be much less investigated. For the L1 discrete Fréchet distance in R we present a 2d-linear decision tree with depth O(n lo...

متن کامل

Banach and Fréchet spaces of functions

Many familiar and useful spaces of continuous or differentiable functions are Hilbert or Banach spaces, with pleasant completeness properties, but many are not. Some are Fréchet spaces, thus still complete, but lacking some of the conveniences of Banach spaces. Some other important spaces are not Fréchet, either. Still, some of these important spaces are colimits of Fréchet spaces (or of Banach...

متن کامل

Diversities and the Geometry of Hypergraphs

The embedding of finite metrics in �1 has become a fundamental tool for both combinatorial optimization and largescale data analysis. One important application is to network flow problems as there is close relation between max-flow min-cut theorems and the minimal distortion embeddings of metrics into �1. Here we show that this theory can be generalized to a larger set of combinatorial optimiza...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Discrete & Computational Geometry

دوره 38  شماره 

صفحات  -

تاریخ انتشار 2007