851 research outputs found

    DYNAMIC CLASSIFICATION OF GEOGRAPHIC POINTS ON GOOGLE MAPS

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    Classification of geographical points on Google maps is an interesting example of the use of cluster analysis algorithm in which the final number of clusters is obtained not only by presuppositions and the algorithm used, but also by the scale, on which map is actually displayed. The ultimate goal of classification is not only to obtain relatively homogeneous clusters, but also to prevent the phenomenon of "blurring" partitions on the map. In the paper there is proposed an algorithm that automatically creates a hierarchical structure of classes (which differs, however, from the structures obtained by the hierarchical agglomerative methods), in such way that the final classification takes into account the enlargement in which the map is displayed. The aim of article is illustrated with real examples on Google maps using JavaScript / JQuery

    Monochromatic loose paths in multicolored kk-uniform cliques

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    For integers k2k\ge 2 and 0\ell\ge 0, a kk-uniform hypergraph is called a loose path of length \ell, and denoted by P(k)P_\ell^{(k)}, if it consists of \ell edges e1,,ee_1,\dots,e_\ell such that eiej=1|e_i\cap e_j|=1 if ij=1|i-j|=1 and eiej=e_i\cap e_j=\emptyset if ij2|i-j|\ge2. In other words, each pair of consecutive edges intersects on a single vertex, while all other pairs are disjoint. Let R(P(k);r)R(P_\ell^{(k)};r) be the minimum integer nn such that every rr-edge-coloring of the complete kk-uniform hypergraph Kn(k)K_n^{(k)} yields a monochromatic copy of P(k)P_\ell^{(k)}. In this paper we are mostly interested in constructive upper bounds on R(P(k);r)R(P_\ell^{(k)};r), meaning that on the cost of possibly enlarging the order of the complete hypergraph, we would like to efficiently find a monochromatic copy of P(k)P_\ell^{(k)} in every coloring. In particular, we show that there is a constant c>0c>0 such that for all k2k\ge 2, 3\ell\ge3, 2rk12\le r\le k-1, and nk(+1)r(1+ln(r))n\ge k(\ell+1)r(1+\ln(r)), there is an algorithm such that for every rr-edge-coloring of the edges of Kn(k)K_n^{(k)}, it finds a monochromatic copy of P(k)P_\ell^{(k)} in time at most cnkcn^k. We also prove a non-constructive upper bound R(P(k);r)(k1)rR(P_\ell^{(k)};r)\le(k-1)\ell r

    On the Ramsey-Tur\'an number with small ss-independence number

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    Let ss be an integer, f=f(n)f=f(n) a function, and HH a graph. Define the Ramsey-Tur\'an number RTs(n,H,f)RT_s(n,H, f) as the maximum number of edges in an HH-free graph GG of order nn with αs(G)<f\alpha_s(G) < f, where αs(G)\alpha_s(G) is the maximum number of vertices in a KsK_s-free induced subgraph of GG. The Ramsey-Tur\'an number attracted a considerable amount of attention and has been mainly studied for ff not too much smaller than nn. In this paper we consider RTs(n,Kt,nδ)RT_s(n,K_t, n^{\delta}) for fixed δ<1\delta<1. We show that for an arbitrarily small ε>0\varepsilon>0 and 1/2<δ<11/2<\delta< 1, RTs(n,Ks+1,nδ)=Ω(n1+δε)RT_s(n,K_{s+1}, n^{\delta}) = \Omega(n^{1+\delta-\varepsilon}) for all sufficiently large ss. This is nearly optimal, since a trivial upper bound yields RTs(n,Ks+1,nδ)=O(n1+δ)RT_s(n,K_{s+1}, n^{\delta}) = O(n^{1+\delta}). Furthermore, the range of δ\delta is as large as possible. We also consider more general cases and find bounds on RTs(n,Ks+r,nδ)RT_s(n,K_{s+r},n^{\delta}) for fixed r2r\ge2. Finally, we discuss a phase transition of RTs(n,K2s+1,f)RT_s(n, K_{2s+1}, f) extending some recent result of Balogh, Hu and Simonovits.Comment: 25 p

    Tight Hamilton Cycles in Random Uniform Hypergraphs

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    In this paper we show that e/ne/n is the sharp threshold for the existence of tight Hamilton cycles in random kk-uniform hypergraphs, for all k4k\ge 4. When k=3k=3 we show that 1/n1/n is an asymptotic threshold. We also determine thresholds for the existence of other types of Hamilton cycles.Comment: 9 pages. Updated to add materia

    The set chromatic number of random graphs

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    In this paper we study the set chromatic number of a random graph G(n,p)G(n,p) for a wide range of p=p(n)p=p(n). We show that the set chromatic number, as a function of pp, forms an intriguing zigzag shape
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